This study introduces a Custom GPTs-powered Teaching Assistant, specifically designed to support Lesson Study by providing automated analysis, personalized recommendations, and structured reflection. The initial prototype, LS Navigator, was introduced at the WALS 2023 conference in Zwolle, Netherlands. Over the past two years, the model has undergone significant refinement, incorporating enhanced computational capabilities and domain-specific datasets to optimize its analytical and recommendation functions. The system has been tested and evaluated in real educational settings at the Nazarbayev Intellectual School of Physics and Mathematics in Taldykorgan, demonstrating its potential to support educators in optimizing lesson planning, observation, and reflection.
The proposed AI assistant enhances the Lesson Study process in the following key areas:
• Automated Reflection Support.
• Lesson Plan Optimization.
• Automated Reporting and Documentation.
To evaluate its effectiveness, we trained the Custom GPTs assistant on a dataset comprising lesson plans, discussion transcripts, student assessments, and feedback from previous Lesson Studies. Preliminary findings, derived from a comparative analysis of teacher reflection quality and time efficiency, indicate that the AI assistant significantly reduces the workload associated with data analysis while enhancing the depth and accuracy of teacher reflections. By integrating AI into the Lesson Study framework, educators gain a powerful tool that enhances human expertise, streamlines the reflection process, and facilitates data-driven pedagogical improvements. This research contributes to the expanding field of AI in education, demonstrating how intelligent systems can support professional learning communities and drive innovative teaching practices.

Authors:
Rinat Ramazanov, Center of Excellence, Kazakhstan
Ravil Ramazanov, Nazarbayev Intellectual School, Kazakhstan
Ulzhan Temirgalieva, Center of Excellence, Kazakhstan

About the Presenter(s)
Ramazanov Rinat – expert in digital transformation in education, expert of Analytical group at the Center of Pedagogical Mastery in Kazakhstan. Interested in ICT, robotics, artificial intellegence and adaptive learning technologies.

See this presentation on the full schedule – Saturday Schedule

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