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Recent advances in generative AI have led to a debate about the future of work and education. Some experts believe that AI will automate many current jobs, making it necessary for education to prepare learners for new roles that require creativity and problem-solving skills. Others argue that AI will create new jobs and that education should focus on teaching learners how to use AI tools effectively. This talk will explore the opportunities and challenges that generative AI presents for education. It will begin by outlining the evolving landscape of generative AI. The talk will then discuss the implications of generative AI in education including assessment, reconceptualization of skills education needs to develop, and ethics and workload. The talk will draw upon a growing body of research knowledge and evidence derived from several empirical studies.
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 2019-2022, 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.