This repository contains the implementation for the paper titled Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling, published at NeurIPS'2024. [Paper][Slides][Presentation Video]

• 🔈2024-11-13: We upload the sldies and the presentation video of Coral.
• 🔈2024-10-30: We publish the source code of Coral.

To run the codes using the Junyi dataset:

1. Navigate to the code directory:

   cd Coral/Coral
   

2. Create two folders '/model' and '/result':

   mkdir model
   mkdir result
   

3. Train and test RCD model:

   python main.py
   

Please cite this paper if you use our codes. Thanks!

@article{gao2024collaborative,
  title={Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling},
  author={Gao, Weibo and Liu, Qi and Yue, Linan and Yao, Fangzhou and Wang, Hao and Gu, Yin and Zhang, Zheng},
  journal={arXiv preprint arXiv:2411.02066},
  year={2024}
}