Coral: Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
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:
-
Navigate to the code directory:
cd Coral/Coral -
Create two folders '/model' and '/result':
mkdir model mkdir result -
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}
}