cxmax222 / causalcdf

Modeling Question Difficulty for Unbiased Cognitive Diagnosis: A Causal Perspective

Source code for the paper Modeling Question Difficulty for Unbiased Cognitive Diagnosis: A Causal Perspective.

The code is the implementation of CausalCDF model and baselines, where the baseline method is based on the code provided by BigData Lab @USTC. The address is https://github.com/bigdata-ustc/EduCDM.

Dependencies:

• python 3.6
• pytorch >= 1.0
• numpy
• csv
• pandas
• sklearn

Usage

Run examples\NCDM\NCDM.py to train the model and test the trained the model on the test set:

python NCDM.py

The operating method of other models is similar.

Data Set

The data is extracted from public data set ASSIST2009-2010 (skill-builder, corrected version) where answer_type != 'open_response' and skill_id != ''. When a user answers a problem for multiple times, only the first time is kept. We split the data into training dataset, validation dataset and testing dataset.

Details

• We filter students with less than 15 answering logs.
• The model parameters are initialized with Xavier initialization.
• The model uses Adam Optimizer, and the learning rate is set to 0.001.
• We set the default values at γ = 0.1.