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Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization.

, , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)

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Informing Teachers Live about Student Learning: Reporting in Assistment System, and . Workshop on Usage Analysis in Learning Systems, Proceedings of Artificial Intelligence in Education, Amsterdam, (2005)Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods., , , and . AIED, volume 158 of Frontiers in Artificial Intelligence and Applications, page 626-628. IOS Press, (2007)To Tutor or Not to Tutor: That is the Question., and . AIED, volume 200 of Frontiers in Artificial Intelligence and Applications, page 457-464. IOS Press, (2009)Studying Learning at Scale with the ASSISTments TestBed., and . L@S, page 333-334. ACM, (2016)Optimizing the Amount of Practice in an On-Line Platform., and . L@S, page 145-148. ACM, (2016)Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems., , and . Intelligent Tutoring Systems, volume 3220 of Lecture Notes in Computer Science, page 541-553. Springer, (2004)Refusing to Try: Characterizing Early Stopout on Student Assignments., , , and . LAK, page 391-400. ACM, (2019)Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities., , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 150-155. Springer, (2014)Feedback during Web-Based Homework: The Role of Hints., , , , , , , , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 328-336. Springer, (2011)Extending Knowledge Tracing to Allow Partial Credit: Using Continuous versus Binary Nodes., and . AIED, volume 7926 of Lecture Notes in Computer Science, page 181-188. Springer, (2013)