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Reengineering the Feature Distillation Process: A case study in detection of Gaming the System., , , and . EDM, page 284-287. International Educational Data Mining Society (IEDMS), (2014)Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining., , , , and . ICLS, International Society of the Learning Sciences, (2014)Student online behaviors: correlations to math identity., , , , , , and . LAK, page 441-445. ACM, (2018)Active Learning for Student Affect Detection., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses., , and . EDM, International Educational Data Mining Society (IEDMS), (2019)MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis., , , , , , and . EDM, page 127-134. International Educational Data Mining Society (IEDMS), (2016)Semantic Features of Math Problems: Relationships to Student Learning and Engagement., , , , , and . EDM, page 223-230. International Educational Data Mining Society (IEDMS), (2016)Predicting Student Retention from Behavior in an Online Orientation Course., , , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2017)Effect of student ability and question difficulty on duration., , , and . EDM, page 135-142. International Educational Data Mining Society (IEDMS), (2016)Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system., and . Interact. Learn. Environ., 27 (5-6): 585-597 (2019)