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Session Type: Roundtable Session
This session examines how teachers develop professional knowledge, beliefs, and practices around artificial intelligence in education. Papers investigate teacher learning across pre-service and in-service contexts, focusing on AI literacy, pedagogical adaptation, and professional identity. Studies reveal how educators navigate uncertainty, design AI-integrated lessons, and engage with emerging tools like ChatGPT. The session invites dialogue on how teacher preparation and professional development can evolve to empower educators as informed designers, facilitators, and critical users of AI in classrooms.
An Analysis of Secondary Teachers’ AI-Integrated Lessons Based on Activity Theory - Jisoo Lee, Korea University; Hyojin Lee, Korea University; Innwoo Park, Korea University
Examining Pre-service Teacher’s Vision for AI Integration in Instructional Practice - Yuxin Chen, University of South Alabama; Sohee Kim, University of South Alabama
From Clicks to Criticality: Educator Knowledge for AI-Enhanced Literacy Learning - Rebekah May Degener, Minnesota State University - Mankato; Beth Beschorner, Minnesota State University - Mankato
Generative AI-Mediated Learning Trajectories: An Activity Theory Analysis of In-Service CS Educators’ Engagement with ChatGPT - Rui Tammy Huang, University of Florida; Ruohan Liu, Seattle University; John Hampton, University of Florida