shshen-closer / GLNC

Source code for the paper: Global and Local Cognitive Modeling for Student Performance Prediction.

Dependencies:

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

Usage

First, download the data file, 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 generate_data.py {fold}

For example:

python generate_data.py 1 or python generate_data.py 2

Train the model:

python train.py 30