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Class Distinctions: Leveraging Class-Level Features to Predict Student Retention Performance., , and . AIED, volume 7926 of Lecture Notes in Computer Science, page 820-823. Springer, (2013)WEBsistments: Enabling an Intelligent Tutoring System to Excel at Explaining Rather Than Coaching., , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 268-273. Springer, (2012)Modeling Multiple Distributions of Student Performances to Improve Predictive Accuracy., , and . UMAP, volume 7379 of Lecture Notes in Computer Science, page 102-113. Springer, (2012)A Coordinate Geometry Learning Environment with Game-Like Properties., , and . Intelligent Tutoring Systems (2), volume 6095 of Lecture Notes in Computer Science, page 439. Springer, (2010)Automated Vocabulary Instruction in a Reading Tutor., , and . Intelligent Tutoring Systems, volume 4053 of Lecture Notes in Computer Science, page 741-743. Springer, (2006)Adapting to When Students Game an Intelligent Tutoring System., , , , , , , , , and . Intelligent Tutoring Systems, volume 4053 of Lecture Notes in Computer Science, page 392-401. Springer, (2006)Investigate Performance of Expected Maximization on the Knowledge Tracing Model., , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 156-161. Springer, (2014)Wheel-Spinning: Students Who Fail to Master a Skill., and . AIED, volume 7926 of Lecture Notes in Computer Science, page 431-440. Springer, (2013)Analysis of a causal modeling approach: a case study with an educational intervention., and . EDM, page 313-314. www.educationaldatamining.org, (2010)A Novel Feature Generation Method for Sequence Classification - Mutated Subsequence Generation., , and . BIOINFORMATICS, page 68-79. SciTePress, (2014)