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Modeling student retention in an environment with delayed testing.

, , and . EDM, page 328-329. International Educational Data Mining Society, (2013)

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Limits to accuracy: how well can we do at student modeling?, and . EDM, page 4-11. International Educational Data Mining Society, (2013)Adaptation of Problem Presentation and Feedback in an Intelligent Mathematics Tutor., , and . Intelligent Tutoring Systems, volume 1086 of Lecture Notes in Computer Science, page 605-613. Springer, (1996)Learning to Teach with a Reinforcement Learning Agent.. AAAI/IAAI, page 1185. AAAI Press / The MIT Press, (1998)Does Self-Discipline impact students' knowledge and learning?., , , and . EDM, page 61-70. www.educationaldatamining.org, (2009)Why, What, and How to Log? Lessons from LISTEN., and . EDM, page 269-278. www.educationaldatamining.org, (2009)Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning., , and . EDM, page 51-60. www.educationaldatamining.org, (2009)Automatic Extraction of Highly Predictive Sequence Features that Incorporate Contiguity and Mutation., , and . BIOSTEC (Selected Papers), volume 511 of Communications in Computer and Information Science, page 212-229. Springer, (2014)Sequential Online Dispatch in Design of Experiments for Single- and Multiple-Response Surrogate Modeling., , , , , and . IEEE Trans Autom. Sci. Eng., 17 (4): 1674-1688 (2020)Exploring User Data From a Game-like Math Tutor: A Case Study in Causal Modeling., and . EDM, page 307-313. www.educationaldatamining.org, (2011)Enhancing the efficiency and reliability of group differentiation through partial credit., , , and . LAK, page 454-458. ACM, (2016)