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HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing. (arXiv:2006.16915v6 [cs.CY] UPDATED)
Aug. 30, 2022, 1:11 a.m. | Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
cs.LG updates on arXiv.org arxiv.org
Knowledge tracing (KT) which aims at predicting learner's knowledge mastery
plays an important role in the computer-aided educational system. In recent
years, many deep learning models have been applied to tackle the KT task, which
have shown promising results. However, limitations still exist. Most existing
methods simplify the exercising records as knowledge sequences, which fail to
explore rich information that existed in exercises. Besides, the existing
diagnosis results of knowledge tracing are not convincing enough since they
neglect prior relations …
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