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AI-Mediated Learning Environments: Scaffolding Inquiry, Metacognition, and Engagement

Thu, April 9, 2:15 to 3:45pm PDT (2:15 to 3:45pm PDT), Westin Bonaventure, Floor: Lobby Level, Palos Verdes

Session Type: Paper Session

Abstract

This session investigates how artificial intelligence and machine learning shape learning design, inquiry, and engagement across educational contexts. The papers span studies of instructional alignment in LLM-generated math tasks, family engagement in online STEM communities, AI mentors guiding scientific reasoning, predictive modeling of metacognitive regulation in game-based learning, and AI-assisted Socratic dialogue in computer science. Collectively, these studies illuminate how AI-mediated environments can foster conceptual understanding, reflective thinking, and authentic collaboration. The session highlights design principles and methodological insights for leveraging AI as an adaptive scaffold that deepens engagement and supports meaningful, data-informed learning experiences.

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