Affiliation:
1. Concordia University of Edmonton, Canada
2. University of Alberta, Canada
Abstract
This chapter explores the dynamic synergy between artificial intelligence (AI) and learning analytics (LA) as catalysts for self-regulated learning (SRL). By examining the intersection of AI, LA, and SRL, this chapter sheds light on the evolving landscape of education and the opportunities it offers for tailored, data-driven learning experiences. It delves into the transformative potential of AI-powered LA, providing personalized insights, prediction, recommendation, and interactive scaffolding; thus promoting SRL development among learners. It also addresses ethical considerations, challenges, and the need for interdisciplinary collaboration among educators, data scientists, and policymakers. Ultimately, this chapter underscores the importance of responsible implementation and continuous research to harness the full benefits of AI-powered LA in supporting SRL and improving educational outcomes.