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Deep Knowledge Tracing for Free-Form Student Code Progression

, , , , , , and . Artificial Intelligence in Education, page 348--352. Cham, Springer International Publishing, (2018)

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Ripple: Concept-Based Interpretation for Raw Time Series Models in Education., , , , , and . CoRR, (2022)Deep Knowledge Tracing for Free-Form Student Code Progression, , , , , , and . Artificial Intelligence in Education, page 348--352. Cham, Springer International Publishing, (2018)MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks., , , , , , , and . CoRR, (2023)Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design., , , and . LAK, page 345-356. ACM, (2023)InterpretCC: Conditional Computation for Inherently Interpretable Neural Networks., , , , and . CoRR, (2024)Interpreting Language Models Through Knowledge Graph Extraction., , and . CoRR, (2021)The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations., , and . CoRR, (2023)FATED 2022: Fairness, Accountability, and Transparency in Educational Data., , , , , , and . EDM, International Educational Data Mining Society, (2022)Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs., , , , and . EDM, International Educational Data Mining Society, (2022)Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design., , , and . CoRR, (2022)