LPKT-S and LPKT tensorflow_version

Source code and data set for the paper Monitoring Student Progress for Learning Process-consistent Knowledge Tracing.

The code is the implementation of LPKT and LPKT-S model, and the data set is the public data set ASSIST2012-2013.

If this code helps with your studies, please kindly cite the following publication:

@ARTICLE{9950313,  
author={Shen, Shuanghong and Chen, Enhong and Liu, Qi and Huang, Zhenya and Huang, Wei and Yin, Yu and Su, Yu and Wang, Shijin},  
journal={IEEE Transactions on Knowledge and Data Engineering},   
title={Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing},   
year={2022},  
volume={},  
number={},  
pages={1-15},  
doi={10.1109/TKDE.2022.3221985}}

Dependencies:

• python >= 3.7
• tesorflow-gpu >= 2.0
• numpy
• tqdm
• utils
• pandas
• sklearn

Usage

First, download the data file: 2012-2013-data-with-predictions-4-final.csv, then put it in the folder 'data/'

Then, run data_pre.py to preprocess the data set, and run data_save.py {sequence length} to divide the original data set into train set, validation set and test set.

python data_pre.py

python data_save.py 50

Train the model:

python train_lpkt_s.py {fold}

For example:

python train_lpkt_s.py 1 or python train_lpkt_s.py 2

Test the trained the model on the test set:

python test.py {model_name}