| 2026 | AIED | LLM-Driven Text Simplification and Its Effects on Extensive Reading in EFL Learners. | Yiling Dai, Toya Terao |
| 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 |
| 2024 | ICCE | Exploring Reading Speed Profiles in EFL Extensive Reading. | Hatsune Ichidate, Yiling Dai, Brendan Flanagan, Hiroaki Ogata |
| 2024 | ICCE | TAMMY: Supporting EFL Translation Practice with an LLM-Powered Chatbot. | Steve Woollaston, Brendan Flanagan, Patrick Ocheja, Yiling Dai, Hiroaki Ogata |
| 2024 | ICCE | Representing Learning Progression of Unguided Exercise Solving: A Generalization of Wheel-Spinning Detection. | Taisei Yamauchi, Heinz Ulrich Hoppe, Yiling Dai, Brendan Flanagan, Hiroaki Ogata |
| 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 | Can We Ensure Accuracy and Explainability for a Math Recommender System? | Yiling Dai, Brendan Flanagan, Hiroaki Ogata |
| 2023 | ICCE | ECLAIR: A Centralized AI-Powered Recommendations System in a Multi-Node EXAIT System. | Isanka Wijerathne, Brendan Flanagan, Yiling Dai, Hiroaki Ogata |
| 2023 | ICCE | Improved Automated Labeling of Mathematical Exercises in Japanese. | Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, 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 Matching of Exercises with Knowledge components. | Zejie Tian, Brendan Flanagan, Yiling Dai, 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 |
| 2021 | ICCE | EXAIT: A Symbiotic Explanation Learning System. | Brendan Flanagan, Kyosuke Takami, Kensuke Takii, Yiling Dai, Rwitajit Majumdar |
| 2021 | ICCE | Toward Educational Explainable Recommender System: Explanation Generation based on Bayesian Knowledge Tracing Parameters. | Kyosuke Takami, Brendan Flanagan, Yiling Dai |
| 2016 | EDM | Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners. | Yiling Dai, Yasuhito Asano, Masatoshi Yoshikawa |