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Session Type: Symposium
The use of generative artificial intelligence (GenAI) tools, virtual pedagogical agents, and other educational technologies are rapidly evolving. Researchers, policymakers, and practitioners continue to be concerned with how we can leverage these technologies to enhance student motivation, learning, and teacher practices. Research has shown that we can use motivation theory to guide our understanding of how GenAI technology and virtual characters may be used to boost student motivation. The purpose of this symposium is to consider, present, and discuss cross-discipline work that uses different methodological techniques to examine how various aspects of GenAI and virtual characters can be responsibly used and designed to bolster student motivation.
Generative AI Assistance for Lesson Planning to Support Positive Student Mathematics Motivation and Emotions - Teomara Rutherford, University of Delaware; Andrew Rodrigues, University of Delaware; Sotheara Veng, University of Delaware; Yiqin Cao, University of Delaware; Santiago Duque-Baird, University of Delaware; Ekaterina Bergwall, University of Delaware; Rosa Julia Mykyta-Chomsky, University of Delaware; Kristin Chisholm, University of Delaware
Lessons Learned When Establishing a Community of Practice Focused on AI Pedagogy and Innovation - Stephen J. Aguilar, University of Southern California; Changzhao Wang, University of Southern California
Creating AI-Enhanced Technologies to Enhance Organizational Change Efforts in a K-12 School District - June Ahn, University of California - Irvine; Seth Van Doren, University of California - Irvine; John Louis-Strakes Lopez, University of California - Irvine; Karmelyn Macias, University of California - Irvine
Harnessing AI for Educational Interventions: Evaluating LLM-Written Mindset-Supportive Messages - Margarett Clapper, University of Texas at Austin; Cameron Hecht, University of Rochester; Samuel D. Gosling, University of Texas at Austin; Christopher Bryan, University of Texas at Austin; Jeremy Jamieson, University of Rochester; Jared S. Murray, University of Texas at Austin; David Yeager, University of Texas at Austin
Investigating the Influence of Pedagogical Agents on Learners’ Motivation: A Comprehensive Meta-Analysis - Jessica R. Gladstone, University of Illinois at Urbana-Champaign; Noah L. Schroeder, University of Florida; Steffi Heidig, Hochschule Zittau/Görlitz Studiengang; Shan Zhang, University of Florida; Christian W. Palaguachi, University of Illinois at Urbana-Champaign; Marcin Pitera, University of Illinois at Urbana-Champaign