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Ripple: Concept-Based Interpretation for Raw Time Series Models in Education.

, , , , , and . AAAI, page 15903-15911. AAAI Press, (2023)

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Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design., , , and . LAK, page 345-356. ACM, (2023)Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection., , , , and . AIED Companion (1), volume 2150 of Communications in Computer and Information Science, page 382-390. Springer, (2024)MEDITRON-70B: Scaling Medical Pretraining for Large Language Models, , , , , , , , , and 10 other author(s). (2023)Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning., , , , , , and . CoRR, (2024)Deep Knowledge Tracing for Free-Form Student Code Progression., , , , , , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 348-352. Springer, (2018)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 . CoRR, (2022)Ripple: Concept-Based Interpretation for Raw Time Series Models in Education., , , , , and . AAAI, page 15903-15911. AAAI Press, (2023)Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling., , , and . CoRR, (2022)MEDITRON-70B: Scaling Medical Pretraining for Large Language Models., , , , , , , , , and 10 other author(s). CoRR, (2023)