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Detection and Transition Analysis of Engagement and Affect in a Simulation-Based Combat Medic Training Environment.

, and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)

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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)Penetrating the black box of time-on-task estimation., , , , , and . LAK, page 184-193. ACM, (2015)Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments., , , , , and . UMAP, page 131-138. ACM, (2018)Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments., , , , , , and . AIED (1), volume 12163 of Lecture Notes in Computer Science, page 411-422. Springer, (2020)Predicting Success in Massive Open Online Courses (MOOCs) Using Cohesion Network Analysis., , , , and . CSCL, International Society of the Learning Sciences, (2017)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)