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Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models.

, , and . EDM, page 156-159. www.educationaldatamining.org, (2012)

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Discovering Behavior Patterns of Self-Regulated Learners in an Inquiry-Based Learning Environment, , and . Artificial Intelligence in Education, volume 7926 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)SAS Tools for Educational Data Mining., , and . EDM, page 632-633. International Educational Data Mining Society (IEDMS), (2016)When Off-Task is On-Task: The Affective Role of Off-Task Behavior in Narrative-Centered Learning Environments., , , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 534-536. Springer, (2011)Generalizing Models of Student Affect in Game-Based Learning Environments., , and . ACII (2), volume 6975 of Lecture Notes in Computer Science, page 588-597. Springer, (2011)Coding for All: Computer Science Outreach for All Ages and Budgets (Abstract Only)., , and . SIGCSE, page 716. ACM, (2017)Modeling Learner Affect with Theoretically Grounded Dynamic Bayesian Networks., , and . ACII (1), volume 6974 of Lecture Notes in Computer Science, page 286-295. Springer, (2011)Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments., , , and . Int. J. Artif. Intell. Educ., 23 (1-4): 94-114 (2013)Utilizing Dynamic Bayes Nets to Improve Early Prediction Models of Self-regulated Learning., , and . UMAP, volume 7899 of Lecture Notes in Computer Science, page 228-241. Springer, (2013)Exploring Inquiry-Based Problem-Solving Strategies in Game-Based Learning Environments., , , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 470-475. Springer, (2012)Affect and Engagement in Game-BasedLearning Environments., and . IEEE Trans. Affect. Comput., 5 (1): 45-56 (2014)