Research field (2)：
Learning support systems
, Web and service informatics
Research theme for competitive and other funds (4)：
2023 - 2028 Building a platform that realizes learning and working styles in the post-COVID era
2024 - 2026 Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education
2024 - 2026 Knowledge acquisition process from semantic and temporal perspectives: Visualization and its learning effects
2023 - 2026 Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education
Papers (22)：
Hiroaki Ogata, Changhao Liang, Yuko Toyokawa, Chia-Yu Hsu, Kohei Nakamura, Taisei Yamauchi, Brendan Flanagan, Yiling Dai, Kyosuke Takami, Izumi Horikoshi, et al. Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context. Technology, Knowledge and Learning. 2024
Kyosuke Takami, Brendan Flanagan, Yiling Dai, Hiroaki Ogata. Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender. International Journal of Distance Education Technologies. 2024. 22. 1. 1-23
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata. Integrating self-explanation and operational data for impasse detection in mathematical learning. Res. Pract. Technol. Enhanc. Learn. 2024. 20. 19-19
Taisei Yamauchi, Ryosuke Nakamoto, Yiling Dai, Kyosuke Takami, Brendan Flanagan, Hiroaki Ogata. Improved Automated Labeling of Mathematical Exercises in Japanese. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings. 2023. 1. 78-87
Isanka Wijerathne, Brendan Flanagan, Yiling Dai, Hiroaki Ogata. ECLAIR: A Centralized Al-Powered Recommendations System in a Multi-Node EXAIT System. 31st International Conference on Computers in Education, ICCE 2023 - Proceedings. 2023. 1. 422-428
