AI is a New Partner: Enhancing Teaching through AI-Powered Lesson Study

• In Event: AERA Roundtable Session Saturday 3:45 pm - Gold 2
  In Roundtable Session: Expanding the Boundaries of Lesson Study: Innovation, Equity, and Community in STEM Education

Abstract

Lesson study (LS) is widely used globally to improve teaching and serves as the foundational model for school-based collective activities in China. Yet, traditional LS relies on subjective observations, limited expert feedback, and lacks objective evidence. This study examines how the AI-powered High-Quality Classroom Analysis (HQCA) System provides classroom data to address these issues. Using a multiple-case qualitative design with 11 teachers from two schools, we analyzed AI reports, lesson plans, and interviews. Findings reveal that AI enhances diagnostic precision, supports evidence-based redesign, visualizes student learning, and fosters collaborative inquiry—though risks such as metric-driven distortions and over-reliance emerge. AI should augment, not replace, teacher reflection and teching expertise in lesson study.

Authors

• chenlu liu, East China Normal University

• Zheng Xin, East China Normal University