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AI in Preservice Teacher Education: Perceptions, Planning, and Pathways
Fri, April 10, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 2Session Type: Roundtable Session
Abstract
This session examines the multifaceted integration of AI into initial teacher education programs. It explores how preservice teachers perceive and use AI for instructional planning, their evolving attitudes from techno-optimism to stress-induced adoption, and the frameworks that can guide this integration effectively.
Sub Unit
Chair
Papers
Navigating AI Integration: Early Childhood Pre-Service Teachers' Use of AI Tools in Instructional Planning - Jaehee Kwon, SUNY at Fredonia
Cautious Techno-optimism of Generative Artificial Intelligence in Pre-Service Teacher Education - Mike Karlin, California State University - Dominguez Hills; Cristina Stephany, South Bay Consortium Teacher Induction Program; K. ʻAlohilani HN Okamura, University of Hawai‘i at Manoa
Scaffolding AI-Integrated lesson planning: Preservice teachers’ use of GenAI through the TPACK framework - Jaesung Hur, Florida State University; Idam Kim, Florida State University; Nuodi Zhang, Florida State University; Shiyao Wei, Florida State University; Hui Shi, Florida State University; Vanessa Dennen, Florida State University
The Stress–Adoption Reconfiguration Pathway: Understanding Pre-Service Teachers’ Use of GenAI Across a Four-Year Initial Teacher Education Program - Hsiao-Ping Hsu, Dublin City University; Alan Gorman, Dublin City University