Improving Knowledge Tracing with Collaborative Information

Author:

Long Ting1,Qin Jiarui1,Shen Jian1,Zhang Weinan1,Xia Wei2,Tang Ruiming2,He Xiuqiang2,Yu Yong1

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Huawei Noah's Ark Lab, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference46 articles.

1. Knowledge Tracing with Sequential Key-Value Memory Networks

2. Median of thepValue Under the Alternative Hypothesis

3. Haw-Shiuan Chang Hwai-Jung Hsu and Kuan-Ta Chen. 2015. Modeling Exercise Relationships in E-Learning: A Unified Approach.. In EDM . 532--535. Haw-Shiuan Chang Hwai-Jung Hsu and Kuan-Ta Chen. 2015. Modeling Exercise Relationships in E-Learning: A Unified Approach.. In EDM . 532--535.

4. Prerequisite-Driven Deep Knowledge Tracing

5. Kyunghyun Cho , Bart Van Merriënboer , Dzmitry Bahdanau, and Yoshua Bengio. 2014 . On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259 (2014). Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259 (2014).

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