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How Close are Predictive Models to Teachers in Detecting Learners at Risk?

, , , and . UMAP, page 135-145. ACM, (2023)

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MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks., , , , , , , and . CoRR, (2023)Generative AI for Education (GAIED): Advances, Opportunities, and Challenges., , , , , , and . CoRR, (2024)Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling., , , , and . CoRR, (2022)Reviewriter: AI-Generated Instructions For Peer Review Writing., , , , and . BEA@ACL, page 57-71. Association for Computational Linguistics, (2023)L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web., , , , and . WSDM, page 1165-1166. ACM, (2021)Designing Intelligent Systems for Online Education: Open Challenges and Future Directions., , , , and . L2D@WSDM, volume 2876 of CEUR Workshop Proceedings, page 57-64. CEUR-WS.org, (2021)Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design., , , and . LAK, page 345-356. ACM, (2023)Finding Paths for Explainable MOOC Recommendation: A Learner Perspective., , , , and . CoRR, (2023)Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses., , and . EDM, International Educational Data Mining Society, (2021)Early Prediction of Conceptual Understanding in Interactive Simulations., , , and . EDM, International Educational Data Mining Society, (2021)