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Self-Regulated Learning and Motivation in Technology-Enhanced Environments

Wed, April 8, 7:45 to 9:15am PDT (7:45 to 9:15am PDT), Westin Bonaventure, Floor: Lobby Level, Los Feliz

Session Type: Paper Session

Abstract

This session examines how learning analytics, AI, and immersive technologies shape students’ motivation and self-regulated learning (SRL). Papers span large-scale institutional analytics, AI chatbots as co-regulators, and meta-analyses of synchronous versus asynchronous learning. Complementary studies in VR and K–12 settings explore how feedback, costs, and design features influence motivation and regulation. These papers offer theoretical and empirical insights into how technological environments can scaffold self-regulated learning and sustain motivation across diverse modalities and learner populations.

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