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| 書誌情報 | ファイル |
|---|---|
| Fine Grain Synthetic Educational Data: Challenges and Limitations of Collaborative Learning Analytics Flanagan, Brendan; Majumdar, Rwitajit; Ogata, Hiroaki (2022) IEEE Access, 10: 26230-26241 |  |
| Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis Flanagan, Brendan; Majumdar, Rwitajit; Ogata, Hiroaki (2022) International Journal of Educational Technology in Higher Education, 19 | |
| Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning Yang, Albert C.M.; Flanagan, Brendan; Ogata, Hiroaki (2022) Computers and Education: Artificial Intelligence, 3 | |
| An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz Nakamoto, Ryosuke; Flanagan, Brendan; Dai, Yiling; Takami, Kyosuke; Ogata, Hiroaki (2022) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium: 254-258 | |