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Item Ordering Effects with Qualitative Explanations using Online Adaptive Tutoring Data.

, , , and . L@S, page 313-316. ACM, (2015)

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Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing, and . User Modeling, Adaptation, and Personalization, volume 6075 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2010)Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm., and . EDM, page 161-170. www.educationaldatamining.org, (2010)Learning What Works in its from Non-Traditional Randomized Controlled Trial Data., , and . Int. J. Artif. Intell. Educ., 21 (1-2): 47-63 (2011)Modelling Student Behavior using Granular Large Scale Action Data from a MOOC., , and . CoRR, (2016)Enabling Real-Time Adaptivity in MOOCs with a Personalized Next-Step Recommendation Framework., , , and . L@S, page 23-32. ACM, (2017)moocRP: Enabling Open Learning Analytics with an Open Source Platform for Data Distribution, Analysis, and Visualization., , and . Technol. Knowl. Learn., 21 (1): 75-98 (2016)pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models., , and . CoRR, (2021)Affective states and state tests: investigating how affect throughout the school year predicts end of year learning outcomes., , , , and . LAK, page 117-124. ACM, (2013)Designing for serendipity in a university course recommendation system., and . LAK, page 350-359. ACM, (2020)The conference was reorganized to a virtual event due to the international COVID-19 health crisis..Extracting Course Similarity Signal using Subword Embeddings., and . LAK, page 857-863. ACM, (2024)