Research field (2):
Learning support systems
, Web and service informatics
Research theme for competitive and other funds (2):
2023 - 2028 Building a platform that realizes learning and working styles in the post-COVID era
2023 - 2026 Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education
Papers (17):
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
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
Brendan Flanagan, Zejie Tian, Taisei Yamauchi, Yiling Dai, Hiroaki Ogata. A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises. Research and Practice in Technology Enhanced Learning. 2023. 19. 028-028
Ryosuke Nakamoto, Brendan Flanagan, Yiling Dai, Taisei Yamauchi, Kyosuke Takami, Hiroaki Ogata. Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study. Sustainability. 2023. 15. 21. 15577-15577
Ryosuke Nakamoto, Brendan Flanagan, Taisei Yamauchi, Yiling Dai, Kyosuke Takami, Hiroaki Ogata. Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach. Computers. 2023. 12. 11. 217-217