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Session Type: Roundtable Session
This session invites dialogue on designing technologies that support self-regulated learning and motivation across contexts. Papers examine SRL-enhanced AI chatbots for programming revealing trade-offs between immediate performance and long-term capability development, gender differences in motivational responses to virtual field trips, teachers' post-pandemic support of student SRL amid ecosystemic constraints, declining curiosity in out-of-class digital environments and interventions to restore it, and co-adaptive scaffolding tools balancing cognitive load with learner agency. How do we design for sustained self-regulation rather than dependence? What contextual and personal factors shape motivation in digital learning? Join conversations about nurturing agency, curiosity, and metacognitive development.
From Cognitive Load to Co-Adaptive Scaffolding: A Design-Based Inquiry of an AI Learning Tool - Hongming Li, University of Florida; Salah Esmaeiligoujar, University of Florida; Hai Li, University of Florida; Nazanin Adhami, University of Florida; Rui Tammy Huang, University of Florida
Integrating Self-Regulated Learning in Generative AI Chatbots: A Quasi-Experimental Study in Programming Education - Wei-Chih Hsu, National Yang Ming Chiao Tung University; Jerry Chih-Yuan Sun, National Yang Ming Chiao Tung University
Motivational Effects of Virtual Field Trips - Bernhard M. Ertl, Universität der Bundeswehr München; Kerstin Bohlen, Universität der Bundeswehr München
Teachers in Transition: Ecosystemic Perspectives on SRL Support Attitudes and Behaviors Post-Pandemic - Shuyu Chen, Zhejiang University; Jing Wang, Zhejiang University
Understanding and Fostering Curiosity and Self-Motivation in Digital Environments - Farhan Ali, Nanyang Technological University - National Institute of Education