Contrastive Learning for Knowledge Tracing

Author:

Lee Wonsung1,Chun Jaeyoon2,Lee Youngmin3,Park Kyoungsoo2,Park Sungrae1

Affiliation:

1. Upstage, Republic of Korea

2. i-Scream Edu Co. Ltd, Republic of Korea

3. Korea Advanced Institute of Science and Technology, Republic of Korea

Publisher

ACM

Reference46 articles.

1. Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement

2. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597–1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597–1607.

3. Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

4. Kevin Clark , Minh-Thang Luong , Quoc  V Le , and Christopher  D Manning . 2020 . Electra: Pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555(2020). Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020. Electra: Pre-training text encoders as discriminators rather than generators. arXiv preprint arXiv:2003.10555(2020).

5. Albert  T Corbett and John  R Anderson . 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4, 4 ( 1994 ), 253–278. Albert T Corbett and John R Anderson. 1994. Knowledge tracing: Modeling the acquisition of procedural knowledge. User modeling and user-adapted interaction 4, 4 (1994), 253–278.

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4. MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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