seminar
Empowering Learners in the AI Age: Building Skills for Self-Regulated Learning
The rapid advancement of Artificial Intelligence (AI), particularly generative AI, presents exciting possibilities alongside significant challenges for education. While AI can be a powerful tool, limited information reliability from some AI technologies and the ever-increasing need for new skills for work and life in the age of AI all highlight the importance of learning to learn effectively. This talk explores how educators and edtech developers can empower students to become independent, adaptable, and critical thinkers. We'll delve into the concept of self-regulated learning and its key components. We'll then introduce the FLoRA platform, designed with the use of AI and learning analytics to support reading and writing tasks that require synthesizing information from multiple sources. Through real-world examples from schools and higher education, we'll showcase how FLoRA leverages learning analytics and generative AI to enhance student learning. We'll discuss key findings and lessons learned that can directly inform teaching practice. Finally, we'll explore exciting opportunities for future partnerships to equip educators with the tools to foster the self-regulated learners of tomorrow.
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.