Generative AI in Teacher Education: Perceptions, Productivity, and Collaborative Insights

Session Type: Paper Session

Abstract

This session investigates the integration of Generative AI into teacher education and its impact on pre-service teachers’ perceptions and productivity. By examining the role of AI in lesson planning and teaching strategies, this program highlights the potential of AI tools to enhance engagement and foster interactive learning environments. Additionally, the findings underscore the importance of adapting teacher education curricula to prepare pre-service teachers for the diverse challenges and opportunities presented by AI in the classroom. Attendees will gain valuable insights into effectively leveraging Generative AI in educational contexts.

Sub Unit

• SIG-Technology as an Agent of Change in Teaching and Learning

Chair

• Bret Staudt Willet, Florida State University

Papers

• Preservice Teachers' Perceptions of ChatGPT: Before and After Lesson Planning with Generative AI - Jessica Cai, Northwestern University; Joseph Wong, University of California - Irvine

• Unleashing Preservice Language Teachers’ Generative AI-Enabled Productivity: A Coping Theory Perspective - Hongbiao Yin, The Chinese University of Hong Kong; Chan Wang, The Chinese University of Hong Kong

Discussant

• Jon Margerum-Leys, Oakland University