Pedagogic Research Knowledge Exchange (ARU-CUHK Joint Series 3: Session1)

In this "Pedagogic Research Knowledge Exchange" series, educators from The Chinese University of Hong Kong and Anglia Ruskin University will collaborate to share their teaching innovations and insights from pedagogic research. This session will focus on Assessment with AI.

Date: 14 April 2026 (Tuesday)

Time: 9:00 a.m. - 10:00 a.m. (UKT) / 4:00 p.m. - 5:00 p.m. (HKT)

Format: Online via Teams

Target audience: Academic staff and professional staff

Topics & Speakers

Dr. Steven YEUNG, Senior Lecturer, English Language Teaching Unit, The Chinese University of Hong Kong, Hong Kong

Steven Yeung holds a PhD in Applied Linguistics and Education from the UCL Institute of Education, University College London. As an experienced language educator, he has served in a range of leadership and administrative positions, contributing to quality assurance, curriculum development and course coordination. He also leads and contributes to teaching development and research projects on AI-supported teaching and learning in higher education, from learning tool design to the study of policy and practice. In recognition of his commitment to teaching, he has received multiple awards from CUHK, including the University Education Award (Team) and the Faculty Outstanding Teaching Award.

His interdisciplinary research interests include critical sociolinguistics, language and political economy, artificial intelligence and educational technology. His recent publications have appeared in Language in Society, Applied Linguistics Review, and the Journal of Second Language Writing.

Topic: AI-supported formative assessment in higher education: A review of current practices and directions for pedagogic research

Abstract: While artificial intelligence is increasingly used to support formative assessment in higher education, our understanding of its effectiveness and impact on student learning remains limited. This highlights the importance of pedagogic research that can inform decisions on how to integrate AI into assessment. This talk will first review recent literature to explore how AI supports formative assessment across disciplinary and pedagogical contexts and examine what available evidence reveals about its effects. It will then focus on the experience in implementing AI-supported writing assessment in a language education setting to reflect on how relevant studies can be designed to understand student engagement and experience. Based on both the review and the work undertaken, the talk will discuss how educators in higher education may approach pedagogic research in this area. The talk concludes with suggestions for research directions and relevant considerations for colleagues interested in researching AI-supported formative assessment in their own contexts.

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Dr. James TRUEMAN, Associate Professor, Academic Lead in Academic Systems and Assessment, Anglia Ruskin University, Cambridge, United Kingdom

James is an Associate Professor and Academic Lead for Academic Systems and Assessment in Anglia Learning & Teaching, at Anglia Ruskin University (ARU).  James' work focuses on the strategic development and implementation of evidence-based Assessment and Feedback policy and practice, with a strong focus on Systems Architecture and Educational Technologies. This work includes leading on projects regarding both pedagogic and technical developments, working with university, national and international colleagues to ensure integrated and business relevant solutions are delivered.

Topic: Assessment and Integrity amid the realities of AI

Abstract: This session will explore the rapidly evolving position of AI detection and consider its role in helping to ensure the academic integrity of student work. Against the backdrop of this, it will explore current thoughts on the necessary direction that assessment in Higher Education needs to take.  

Register Now

Registration deadline: 12 April 2026 (Sunday) 23:59 HKT

Enquiry

For any queries, please contact Vienne LIN at viennelin@cuhk.edu.hk