Li, Zhuoran and He, Tingnian and Rong, Yixuan and Liu, Guoqi (2024) Graph Knowledge Tracking Interaction Model Combining Classification and Regression Tree. In: Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2023, Xi’an, China.
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Abstract
Knowledge tracking aims to assess learners' current level of knowledge based on their previous response performance. In recent years, graph neural networks have been successfully applied in the field of knowledge tracking. However, existing graph-based knowledge tracking interaction models typically
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:07 |
| Last Modified: | 17 Apr 2026 00:49 |
| URI: | http://eprints.eai.eu/id/eprint/46913 |
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