GAI-Enhanced Courses: Examining the Impact on Pre-Service Science Teachers’ TPACK Development

• In Event: AERA Roundtable Session Saturday 7:45 am - Gold 3
  In Roundtable Session: Active Learning and Technology Integration in Preservice Education: Developing Competencies for Future Classrooms

Abstract

This study pioneers the integration of generative AI (GAI) in pre-service science teacher education by employing AI agents as virtual microteaching environments for practicing questioning techniques and collaborative strategies ("Six Thinking Hats"). Grounded in Revised Bloom’s Taxonomy (2023), a three-phase Experience-Reflect-Innovate model significantly improved PSTs’ self-efficacy, awareness of emotional scaffolding, and feedback proficiency. The findings demonstrate GAI’s potential to bridge theory-practice divides through controlled pedagogical experimentation, although further research is needed to assess longitudinal classroom transfer.

Author

• Xiaomei Yan, Shanghai Jiao Tong University