Building AI Teacher Competency: Framework Development and Evaluation Through Design-Based Research

• In Event: AERA Roundtable Session Sunday 7:45 am - Gold 3
  In Roundtable Session: Exploring the Impact of AI and Technology on Literacy Instruction

Abstract

As AI tools like large language models and adaptive learning systems become more common in schools, teacher education must evolve to prepare pre-service teachers for ethical and pedagogical AI integration. This study presents the design and evaluation of a localized AI competency framework and a 24-hour online course developed for pre-service teachers and instructional designers. Informed by UNESCO’s (2024) framework and Falloon’s (2020) model, the six-dimensional framework includes AI knowledge, pedagogy, ethics, assessment, human-centered education, and professional engagement. Using design-based research, the course and a self-assessment platform (TAICS) were piloted. Preliminary results show significant gains in self-efficacy and competency, especially in AI pedagogy and assessment. The study offers a replicable, contextualized model for AI integration in teacher education.

Authors

• Xinyan Zhou, The Chinese University of Hong Kong

• SHUHENG SHI, Chinese University of Hong Kong

• Thomas K.F. Chiu, The Chinese University of Hong Kong