Sara is a post-doctoral researcher on the Learning in Families through Technology (LiFT) project. A passionate educator with research interests focused on policy, pedagogy and technology.

Sara has enjoyed many years as a classroom teacher, school leader, and lecturer before specialising in the delivery of large-scale digital assessment globally with a leading EdTech company. Her academic qualifications include a Masters in Educational Leadership (UNSW), Graduate Diploma in Psychology (UNSW), Certificate of Gifted Education (UNSW) and a Bachelor of Primary Education (ECU). She completed her PhD in Education at the University of Sydney where she was awarded the inaugural NESA scholarship from the Centre for Educational Measurement and Assessment (CEMA) and the University of Sydney Doctoral Travel Scholarship which enabled her to spend three terms as a Recognised Student in the Oxford University Centre for Educational Assessment (OUCEA) where she is now a Departmental Associate. Her doctoral research focused on national education policies and the international assessments used to measure their success.

Sara is regularly invited to speak on the ethics of AI in Education and consults to organisations such as UNESCO, OECD and the Asian Development Bank. Recently, Sara supported the publication of the UNESCO AI Competency Framework for Teachers.

Sara is also an Adjunct Fellow – Digital Technologies in Education at The Centre of Independent Studies in Australia.

Research

Journal articles
  • Ratner, S. (2023). RE-IMAGINING ASSESSMENT IN A POST PANDEMIC WORLD. INTED Proceedings, 1, 7860-7866.
    https://doi.org/10.21125/inted.2023.2145

  • Ratner, S. (2022). Leading emotionally intelligent schools to drive school improvement. Australian Educational Leader, 44(1), 40-42.

  • Internet publication
  • Ratner, S. (2022). Re-imagining assessment in Australian schools. Independent Education Union.
    https://publications.ieu.asn.au/2022-march-ie/article/re-imagining-assessment-australian-schools/

  • Funded Research Projects

    • Learning in Families through Technology (LiFT) AI in Education