Reimaging Learning: The Expanding Role of Generative AI in Education

Date: 28 April 2025 (Monday)
Time: 11:00 am – 12:30 pm
Venue: G5-315, YEUNG

Abstract

This talk examines the transformative promise of generative AI in reshaping educational landscapes, while critically interrogating the ethical, pedagogical, and practical challenges that arise with its adoption. Drawing on recent empirical studies and innovative technologies—from adaptive feedback systems to AI-driven assessment tools—the presentation explores how GenAI can foster human learning and transform assessment practices. At the same time, it addresses concerns such as algorithmic opacity, potential over-reliance leading to metacognitive laziness, and the delicate balance between human judgment and automated processes. By integrating evidence-based insights with provocative questions about the future of educational technology, the talk sets a critical agenda for research and practice that champion both innovation and accountability in the age of AI.

Speaker Biography

Dragan Gašević is Distinguished Professor of Learning Analytics and Director of Research in the Department of Human Centred Computing of the Faculty of Information Technology and the Director of the Centre for Learning Analytics at Monash University. Dragan’s research interests center around data analytic, AI, and design methods that can advance understanding of self-regulated and collaborative learning. He is a founder and served as the President (2015-2017) of the Society for Learning Analytics Research. He has also held several honorary appointments in Asia, Australia, Europe, and North America. He is a recipient of the Life-time Member Award (2022) as the highest distinction of the Society for Learning Analytics Research (SoLAR) and a Distinguished Member (2022) of the Association for Computing Machinery (ACM). In 2019-2024, he was recognized as the national field leader in educational technology in The Australian’s Research Magazine that is published annually. He led the EU-funded SHEILA project that received the Best Research Project of the Year Award (2019) from the Association for Learning Technology.