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A Bandit You Can Trust

, , and . Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, ACM, (June 2023)
DOI: 10.1145/3565472.3592955

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Identifying Struggling Students by Comparing Online Tutor Clickstreams., , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 290-295. Springer, (2021)Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT., , , , , , and . AIED (1), volume 12748 of Lecture Notes in Computer Science, page 408-419. Springer, (2021)Effective Evaluation of Online Learning Interventions with Surrogate Measures., , , and . EDM, International Educational Data Mining Society, (2023)A Novel Algorithm for Aggregating Crowdsourced Opinions., and . EDM, International Educational Data Mining Society, (2021)More Powerful A/B Testing Using Auxiliary Data and Deep Learning., , , , and . AIED (2), volume 13356 of Lecture Notes in Computer Science, page 524-527. Springer, (2022)A Bandit You Can Trust., , and . UMAP, page 106-115. ACM, (2023)Cyther: a human-playable, self-tuning robotic zither., , and . NIME, page 319-324. nime.org, (2017)Estimating the Intelligent Tutor Effects on Specific Posttest Problems., , , and . EDM, International Educational Data Mining Society, (2021)Identifying Explanations Within Student-Tutor Chat Logs., , and . EDM, International Educational Data Mining Society, (2022)Exploring Common Trends in Online Educational Experiments., , , , , and . EDM, International Educational Data Mining Society, (2022)