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Improving Low-Resource Knowledge Tracing Tasks by Supervised Pre-training and Importance Mechanism Fine-tuning., , , , , и . CoRR, (2024)Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue., , , , , , и . CIKM, стр. 3798-3802. ACM, (2023)An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge Tracing., , , , и . IEEE Big Data, стр. 1-8. IEEE, (2023)pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models., , , , , и . NeurIPS, (2022)SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners., , , , , , , , и . ITS, том 13891 из Lecture Notes in Computer Science, стр. 678-690. Springer, (2023)Enhancing Deep Knowledge Tracing with Auxiliary Tasks., , , , , , и . WWW, стр. 4178-4187. ACM, (2023)Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations., , , , и . AAAI, стр. 14196-14204. AAAI Press, (2023)simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing., , , , и . ICLR, OpenReview.net, (2023)Towards Robust Knowledge Tracing Models via k-Sparse Attention., , , , и . SIGIR, стр. 2441-2445. ACM, (2023)A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning., , , , , и . AIED (2), том 13356 из Lecture Notes in Computer Science, стр. 208-212. Springer, (2022)