RegKT: Interpretable and Robust Deep Knowledge Tracing With IRT-Regularizer
This paper proposes a novel regularization technique designed to enhance the robustness of deep-learning-based knowledge tracing models, while simultaneously improving their interpretability.
S. Girard, Juan D. Pinto, Jill-Jênn Vie et al.
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