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The UGC HKTEA AI in Education Community of Practice (AI CoP), chaired by Prof. Cecilia Chan, TALIC, is proud to present the 2026 AI in Education Seminar Series. Our AI CoP connects educators, researchers, and industry leaders to advance AI-integrated teaching and shape the future of learning. Through our seminar series, you'll gain insights from leading experts, learn about institutional success stories, and discover innovative strategies for teaching, learning, and assessment in the AI age.
Date: Friday, 23 January 2026
Speaker: Dr. Guanliang Chen, Monash University
Time: 3:00PM-4:00PM HKT
Mode: Online (Zoom)
Language: English
Title: Unlocking the Potential of Feedback with Generative AI: Opportunities, Challenges, and Lessons from Practice
Abstract: Generative AI (GenAI) is rapidly reshaping how feedback can be designed and delivered in education. This seminar examines how GenAI can support feedback practices by helping educators analyse and improve feedback quality, and by enabling more timely, personalised, and actionable feedback for students at scale. It also critically discusses key challenges and risks, including hallucination and misalignment with established feedback theories. Finally, the talk presents Edvance, a GenAI-powered feedback tool developed and evaluated at Monash University, illustrating how theory-informed and responsible uses of AI technologies can effectively support student learning.
Date: Friday, 6 February 2026
Speaker: Dr. Yi-Shan Tsai, Monash University
Time: 12:00PM-1:00PM HKT
Mode: Online (Zoom)
Language: English
Title: Facilitating two-way feedback with AI-powered feedback analytics
Abstract: Feedback is crucial to successful learning. It serves to help learners make sense of their current progress and bridge it with desired goals. However, feedback is often underutilised in higher education for various reasons, including inconsistency in its quality and learners’ lack of ability to utilise feedback effectively – a capability known as feedback literacy. One prominent challenge to improving feedback effectiveness and supporting learner feedback literacy is the lack of mechanism to track learners’ engagement with feedback systematically. In this talk, I will introduce PolyFeed, a feedback analytics tool designed with higher education educators and learners, to enhance two-way feedback. I will explore insights trace data may reveal about feedback literacy, and implications for learning and teaching. I will also discuss how feedback literacy may be reconceptualised in the context of AI-mediated feedback processes.
Date: Friday, 17 April 2026
Speaker: Prof. Andy Nguyen, University of Oulu
Time: 4:00PM-5:00PM HKT
Mode: Online (Zoom)
Language: English
Title: Hybrid Intelligence in Mixed Reality: The Future of Higher Education
Abstract: This presentation introduces and discusses Hybrid Intelligence in Mixed Reality (MR) as an emerging phenomenon shaping both education and the workplace. It examines how the growing integration of AI and immersive technologies raises critical questions about how higher education can best prepare students for the future, not by competing with or being replaced by AI and machines, but by learning to work productively with them. The presentation provides a discussion upon Hybrid Intelligence and MR, illustrating their potential to transform learning and teaching practices. It aims to inform educators about emerging technologies, their educational implications, and key considerations for designing learning environments that support human agency, adaptability, and collaboration in AI-enhanced contexts.
