Adaptive Learner in the Age of AI: Leveraging SRL Theory to Human-AI Collaboration

Professor Sanna JÄRVELÄ, University of Oulu

Date & Time:
14:30 – 15:30, 3 May 2024 (Friday)

Room CPD-3.28, 3/F. The Jockey Club Tower, Centennial Campus, The University of Hong Kong (Map)


Learning and Teaching with Digital Technologies

Professor Gaowei CHEN, Faculty of Education, The University of Hong Kong

Video Recording:

Download the presentation slides in PDF format


The presence of Artificial Intelligence (AI) is growing in all areas of life and has an increasing role in both students' learning and their future work lives. Learners themselves should be active participants when learning and working with AI, not algorithms, and to do that, they need to develop their self-regulated learning (SRL) skills to be able to monitor and control their own learning. I argue for a theory and empirically driven approach to human-AI collaboration. A also discuss how multimodal learning process data can be used to understand core human learning mechanisms to build Hybrid Intelligence systems that augment rather than replace human intelligence, systems that leverage our strengths and compensate for our weaknesses.

About the Speaker

Sanna Järvelä is a professor in learning sciences and head of the Learning and Educational Technology Research Lab (LET) in the University of Oulu, Finland. Her research interests deal with self-regulated learning, computer supported collaborative learning and AI in education. Järvelä is the member of the Finnish Academy of Science and Letters, the past EARLI president, ISLS Fellow and and a member of the PISA 2025 ‘Learning in the Digital World’ expert team. She is a co-PI of the Center for Learning and Living with AI (CELLA) and leader of the Hybrid Intelligence: Human-AI co-evolution and learning in multi-realities (HI) research programme in the University of Oulu 2023-2028.

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