| 2026 | AIED | From Rule-Based to LLM-Based Agents: A Calibrated Simulation Framework for Classroom Social Networks. | Kyosuke Takami, Masahiko Haruno |
| 2025 | AIED | 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 |
| 2025 | EDM | Evaluating Local LLMs on Japanese National University Entrance Examination Dataset in Comparison with Student Performance. | Kyosuke Takami, Satoshi Sekine, Yusuke Miyao |
| 2024 | ICCE | Utilization of Japanese Public Educational Data by Retrieval Augmented Generation for Policy Research. | Kyosuke Takami |
| 2024 | ICALT | An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics. | Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata |
| 2024 | ICALT | Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis. | Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata |
| 2023 | ICCE | Improved Automated Labeling of Mathematical Exercises in Japanese. | Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata |
| 2023 | ICCE | Matching Intervention Messages Considering Complex Personality Types of High School Students. | Taisei Yamauchi, Yuta Nakamizo, Kyosuke Takami, Rwitajit Majumdar, Hiroaki Ogata |
| 2023 | ICALT | Learning with Explainable AI-Recommendations at School: Extracting Patterns of Self-Directed Learning from Learning Logs. | Rwitajit Majumdar, Kyosuke Takami, Hiroaki Ogata |
| 2022 | AIED | An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz. | Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Hiroaki Ogata |
| 2022 | ICCE | Investigation on Practical Effects of the Explanation in a K-12 Math Recommender System. | Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata |
| 2022 | ICCE | Automated Test Set Quiz Maker Optimizing Solving Time and Parameters of Bayesian Knowledge Tracing Model Extracted from Learning Log. | Kyosuke Takami, Gou Miyabe, Brendan Flanagan, Hiroaki Ogata |
| 2022 | ICCE | Nudge Messages for E-Learning Engagement and Student's Personality Traits: Effects and Implication for Personalization. | Taisei Yamauchi, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata |
| 2022 | LAK | Design of a User-Interpretable Math Quiz Recommender System for Japanese High School Students. | Yiling Dai, Brendan Flanagan, Kyosuke Takami, Hiroaki Ogata |
| 2022 | LAK | Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment. | Kyosuke Takami, Yiling Dai, Brendan Flanagan, Hiroaki Ogata |
| 2022 | LAK | Preliminary Personal Trait Prediction from High School Summer Vacation e-learning Behavior. | Kyosuke Takami, Brendan Flanagan, Rwitajit Majumdar, Hiroaki Ogata |
| 2021 | ICCE | EXAIT: A Symbiotic Explanation Learning System. | Brendan Flanagan, Kyosuke Takami, Kensuke Takii, Yiling Dai, Rwitajit Majumdar |
| 2021 | ICCE | Identifying Students' Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz. | Ryousuke Namamoto, Brendan Flanagan, Kyosuke Takami |
| 2021 | ICCE | Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. | Kyosuke Takami, Brendan Flanagan, Yiling Dai |