A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems

Source code and data set for the paper A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems.

The code is the implementation of LDM model.

Citations:

@article{Wang2023,
title = {A Unified Interpretable Intelligent Learning Diagnosis Framework for Learning Performance Prediction in Intelligent Tutoring Systems},
author = {Wang, Zhifeng and Yan, Wenxing and Zeng, Chunyan and Tian, Yuan and Dong, Shi},
year = {2023},
journal = {International Journal of Intelligent Systems},
volume = {2023},
pages = {1--20},
}

Dependencies:

• python 3.6
• pytorch >= 1.0 (pytorch 0.4 might be OK but pytorch<0.4 is not applicable)
• numpy
• json
• sklearn

Usage

Run the model:

python train.py {device} {epoch}

For example:

python train.py cuda:0 5 or python train.py cpu 5