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2023 CIKM: source code for the Counterfactual Monotonic Knowledge Tracing for Assessing Students’ Dynamic Mastery of Knowledge Concepts (CMKT)

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Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts

CIKM'2023: Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts. (Tensorflow implementation for CMKT)

This is the code for the paper: Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts

If you find this code is useful for your research, please cite as:

Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan,and Hui Zhao. 2023. Counterfactual Monotonic Knowledge Tracing for Assessing Students’ Dynamic Mastery of Knowledge Concepts. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM ’23), October 21–25, 2023, Birmingham, United Kingdom. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3583780.3614827

(I am currently organizing the code. Due to recent heavy workload, I have been unable to complete this task. However, I will prioritize sorting the code and providing the GitHub link at the earliest opportunity.)

(If you have any questions, please contact me on time. My E-mail is zhangmoyu@bupt.cn.)

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2023 CIKM: source code for the Counterfactual Monotonic Knowledge Tracing for Assessing Students’ Dynamic Mastery of Knowledge Concepts (CMKT)

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