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Data-driven Learner Modeling to Understand and Improve Online Learning: MOOCs and technology to advance learning and learning research (Ubiquity symposium)., , и . Ubiquity, 2014 (May): 3:1-3:13 (2014)Using latent variable models to make gaming-the-system detection robust to context variations., , , , , , , , , и 1 other автор(ы). User Model. User Adapt. Interact., 33 (5): 1211-1257 (ноября 2023)A Comparison of Model Selection Metrics in DataShop., , и . EDM, стр. 284-287. International Educational Data Mining Society, (2013)Is the doer effect a causal relationship?: how can we tell and why it's important., , , и . LAK, стр. 388-397. ACM, (2016)Interpreting model discovery and testing generalization to a new dataset., , и . EDM, стр. 107-113. International Educational Data Mining Society (IEDMS), (2014)A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems., , , , , , , и . LAK, стр. 161-172. ACM, (2021)Using Data-Driven Discovery of Better Student Models to Improve Student Learning., , , и . AIED, том 7926 из Lecture Notes in Computer Science, стр. 421-430. Springer, (2013)A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems., , , и . AIED (2), том 12164 из Lecture Notes in Computer Science, стр. 124-129. Springer, (2020)Beyond Repetition: The Role of Varied Questioning and Feedback in Knowledge Generalization., , , и . L@S, стр. 451-455. ACM, (2024)Methods for Evaluating Simulated Learners: Examples from SimStudent., , , и . AIED Workshops, том 1432 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)