Preparing Pre-Service Teachers for AI-Enhanced Teaching: A Competence Model Integrating AI Literacy, TPACK, and CoI

• In Event: Teaching and Learning with AI: Building Literacy, Agency, and Design.

Abstract

This study proposes and validates an integrated competence model linking AI literacy, TPACK, and the Community of Inquiry (CoI) within the IMTPG framework. Drawing on data from pre-service STEM teachers, the model identifies three key pathways: affective literacy as a foundation shaping cognitive, behavioral, and ethical literacy; cognitive literacy enhancing TPACK-based teaching competence; and behavioral and ethical literacy supporting student-centered learning through social and cognitive presence. The findings offer theoretical and practical insights into how pre-service teachers transform AI-related knowledge into instructional competence and foster meaningful learning in AI-enhanced environments.

Authors

• Shuyu Chen, Zhejiang University

• Jing Wang, Zhejiang University