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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)Special Issue on the Generalized Intelligent Framework for Tutoring (GIFT): Creating a Stable and Flexible Platform for Innovations in AIED Research., , , and . Int. J. Artif. Intell. Educ., 28 (2): 139-151 (2018)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)Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis., , , , and . CSCL, International Society of the Learning Sciences, (2017)Student online behaviors: correlations to math identity., , , , , , and . LAK, page 441-445. ACM, (2018)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)Active Learning for Student Affect Detection., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)