Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-Back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes

Kyosuke Takami, Ryosuke Nakamoto, Yiling Dai, Brendan Flanagan, Hiroaki Ogata. Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-Back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes. In Alexandra I. Cristea, Erin Walker, Yu Lu 0003, Olga C. Santos, Seiji Isotani, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED - 26th International Conference, AIED 2025, Palermo, Italy, July 22-26, 2025, Proceedings, Part I. Volume 2590 of Communications in Computer and Information Science, pages 119-128, Springer, 2025. [doi]

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