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Using natural language processing tools to develop complex models of student engagement.

, , , , , and . ACII, page 542-547. IEEE Computer Society, (2017)

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Scaffolding Executive Function in Game-Based Learning to Improve Productive Persistence and Computational Thinking in Neurodiverse Learners., and . HCI (29), volume 12790 of Lecture Notes in Computer Science, page 155-172. Springer, (2021)The Variable Relationship Between On-Task Behavior and Learning., , , , , and . CogSci, cognitivesciencesociety.org, (2016)Modeling how incoming knowledge, persistence, affective states, and in-game progress influence student learning from an educational game., , , , , , , and . Comput. Educ., (2015)Interactive Assessments of CT (IACT): Digital Interactive Logic Puzzles to Assess Computational Thinking in Grades 3-8., , , , , , , and . Int. J. Comput. Sci. Educ. Sch., 5 (2): 28-73 (2021)Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance., , , , , , and . CogSci, page 3291. cognitivesciencesociety.org, (2019)Towards Sharing Student Models Across Learning Systems., , , , , , , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 60-65. Springer, (2021)Using correlational topic modeling for automated topic identification in intelligent tutoring systems., , , , and . LAK, page 393-397. ACM, (2017)Clustering of design decisions in classroom visual displays., , , , and . LAK, page 44-48. ACM, (2014)Using natural language processing tools to develop complex models of student engagement., , , , , and . ACII, page 542-547. IEEE Computer Society, (2017)Perception of math and non-math content in children's storybooks., , , and . CogSci, cognitivesciencesociety.org, (2016)