Coral: Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

November 13, 2024 · View on GitHub

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]

Announcements:

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

Example to Run the Codes

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
```

Dataset

ASSIST

Junyi

NeurIPS2020

BibTex

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}
}