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Rethinking Teacher–AI Partnerships in Lesson Planning and Assessment
Wed, April 8, 3:45 to 5:15pm PDT (3:45 to 5:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 2nd Floor, Platinum ISession Type: Paper Session
Abstract
This session examines the intersection of teacher agency, instructional quality, and tool affordances when lesson planning involves generative AI. The papers discuss the potential for co-creation and shared agency while also critically analyzing the quality and originality of AI-generated educational content.
Sub Unit
Chair
Papers
Co-creating Knowledge with GenAI: Shared Epistemic Agency and Critical AI Literacy in K-12 Lesson Planning - Yingru Zhao, University at Albany - SUNY; Jaesung Park, University at Albany - SUNY; Devan Walton, University at Albany - SUNY; Haesol Bae, University at Albany - SUNY; Dongni Guo, University at Albany - SUNY
Innovation or Imitation? Analyzing AI-Generated Lesson Plans for Technology Integration - Chenyang Xu, University of Massachusetts - Amherst; Torrey Trust, University of Massachusetts - Amherst; Robert Maloy, University of Massachusetts - Amherst; Kael Pelletier, University of Massachusetts - Amherst
Mathematics Learning Task Quality in Teacher-GenAI Collaboration: Assessment and Success Factors - Jie Cao, University of North Carolina - Chapel Hill; Shuman Wang, Stanford University; Christian D. Schunn, University of Pittsburgh