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Preparing Future Educators in the Age of AI
Wed, April 8, 9:45 to 11:15am PDT (9:45 to 11:15am PDT), JW Marriott Los Angeles L.A. LIVE, Floor: 3rd Floor, Georgia IISession Type: Paper Session
Abstract
This session brings together empirical and instrument-development work that examines how pre-service teachers learn to use, evaluate, and feel capable of using generative AI in classroom settings. Collectively, the three papers address measurement (self-efficacy), pedagogical intervention (guided lesson-planning with GenAI), and critical sense-making (deconstructing the “magic” of AI), offering complementary perspectives on preparing teacher candidates for responsible, reflective, and effective AI-enabled practice.
Sub Unit
Papers
Measuring Preservice Teachers’ Efficacy with the Responsible Use of Human-Centered Artificial Intelligence in Education - Yao Fu, University of Wisconsin - Whitewater; Crystal Machado, Indiana University of Pennsylvania; Jiaxi Wang, University of Wisconsin-Stevens Point
Integrating Generative AI Lesson Planning in Pre-Service Teacher Training: Shifts In Attitudes, Knowledge, and Perception - Jessica Cai, Northwestern University; Joseph Wong, University of California - Irvine
Questioning the “Magic” of a Generative Artificial Intelligence Platform with Pre-Service Elementary Teachers - Jacob Pleasants, University of Oklahoma; Madison Morris, University of Oklahoma