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This paper presents a validation protocol for knowledge tracing models, evaluating predictive performance and the stability and faithfulness of explanations using XGBoost and deep learning baselines on ASSISTments datasets.
A novel approach to model interpretability using a zero-parameter model that opens the black box of complex AI systems without requiring additional training or parameters.