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

, , , и . UMAP, стр. 135-145. ACM, (2023)

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Joseph Käser

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Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling., , , , и . CoRR, (2022)Generative AI for Education (GAIED): Advances, Opportunities, and Challenges., , , , , , и . CoRR, (2024)Reviewriter: AI-Generated Instructions For Peer Review Writing., , , , и . BEA@ACL, стр. 57-71. Association for Computational Linguistics, (2023)Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design., , , и . LAK, стр. 345-356. ACM, (2023)L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web., , , , и . WSDM, стр. 1165-1166. ACM, (2021)Designing Intelligent Systems for Online Education: Open Challenges and Future Directions., , , , и . L2D@WSDM, том 2876 из CEUR Workshop Proceedings, стр. 57-64. CEUR-WS.org, (2021)MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks., , , , , , , и . CoRR, (2023)Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts., , , , , и . CHI, стр. 167:1-167:26. ACM, (2024)Finding Paths for Explainable MOOC Recommendation: A Learner Perspective., , , , и . CoRR, (2023)Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses., , и . EDM, International Educational Data Mining Society, (2021)