This project was used to test students at risk predictive models (the paper is still in review).

Branches

• Use OneSizeFitsAll-same-dataset branch to use other datasets as training data.
• Use OneSizeFitsAll-trained-other-datasets branch to train each dataset separately by splitting each dataset in training and testing.

Usage

• Copy your datasets to datasets/. The datasets names should follow ^dataset\d.csv pattern
• Tune moodle-keras-processes.py params
• Run moodle-keras-processes.py

python moodle-keras-processes.py --epochs=1 --run-prefix='a-test' --model-names="No context NN - 1 hidden.,With peers NN - 2 hidden." --test-datasets="dataset1,dataset2"

-Check the results in tensorboard (http://localhost:6006)

tensorboard --logdir=summaries 2> /dev/null & ; disown
chromium-browser http://localhost:6006