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
