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Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education focusing on self-regulated learning in digital learning environments.

Before starting the DPhil program, Olav worked in the educational technology industry. He is also the author of two books on how to learn effectively, and the co-instructor of the edX Massive Open Online Course Learn Like a Pro.

Olav holds an MBA with Distinction from Saïd Business School, University of Oxford, and a BSc in Economics and Business Administration from the Norwegian School of Economics.

His research interests include self-regulated learning, learning strategies, metacognition, educational technology, and assessment.

Publications

Oakley, D., & Schewe, O. (2021). Learn Like a Pro. New York: St. Martin’s Press.

Brandmo, C., Bråten, I., & Schewe, O. (2019). Social and personal predictors of test anxiety among Norwegian
secondary and postsecondary students. Social Psychology of Education22(1), 43–61.

Schewe, O. (2018). Super Student. Jaico Publishing House.

Brandmo, C., & Schewe, O. (2017) Predictors of self-regulated learning in upper secondary and higher education.
The 17th Biennial Conference for Research on Learning and Instruction (EARLI).

Pierre is using quasi-experimental quantitative methods to gauge the effects of participating in college and career pathway programs in Massachusetts, under the supervision of Ariel Lindorff and Steve Strand.

Originally from Les Cayes, Haiti, he most recently lived in Cambridge, Massachusetts where he was working as a Research Analyst at Harvard University and later as a Policy Analyst at the Massachusetts Department of Education.

Pierre earned a Bachelor’s degree from St. John’s University and Master’s degrees from the Ohio State University and Brown University, respectively.

Tiarnach’s research is funded by the Economic and Social Research Council.

Tiarnach has returned to the Department of Education having previously completed an M.Sc in Childhood Development and Education at the University of Oxford. Tiarnach was recipient of the Oxford Review of Education Dissertation Prize 2016/2017 for his thesis exploring the effects of feedback in virtual learning environments. He completed his undergraduate, Honours B.Ed at Trinity College Dublin.

Tiarnach’s professional background is in primary education as a mainstream and English language teacher, working predominantly in disadvantaged communities.

Research interests:

  • Technology in education
  • Early literacy and numeracy learning
  • Motivation
  • Assessment
  • Early mental health
  • Effects of social disadvantage on education
  • Quantitative methods in education research

Yuanyue Hao obtained his BA degree in English (TESOL) in East China Normal University and MA degree in applied linguistics in Fudan University. Prior to his DPhil study, he taught TOEFL writing and EAP listening for Chinese learners of English.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

Yuanyue’s doctoral research focuses on the development and validation of a scoring rubric to assess prosody in second language English read speech by Chinese learners of English, with the aim to inform classroom-based teaching and assessment as well as automatic pronunciation assessment. He is interested in using a combination of research methods, including systematic review and comparative judgement to inform the design of the scoring rubric, and many-facet Rasch model and machine learning algorithms (such as decision tree and kernel methods) to validate the rubric.

TITLE OF THESIS
Assessing prosodic features in second language English speech by Chinese adult learners of English

Olav Schewe is a DPhil student in Education