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            Updated
            Oct 4, 2021 
- Jupyter Notebook
bayesian-knowledge-tracing
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Implements a grid-search method to find BKT parameters using a shared c library in Python. The shared c library implements the grid search to speed up the nested for loops. Functions to estimate BKT parameters, predictions, collapsed & non-collapsed rmse, auc_roc, accuracy and implement student-stratified k-fold cross-validation.
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            Updated
            Dec 5, 2023 
- Jupyter Notebook
Adaptive Platform for Learning Java powered by a hybrid BKT-RL model, featuring personalized challenges, performance tracking, and mastery-based progression.
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            Updated
            Oct 25, 2025 
- JavaScript
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