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Predicting Individual Differences for Learner Modeling in Intelligent Tutors from Previous Learner Activities.

, , , , , , , and . UMAP, page 55-63. ACM, (2016)

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Validating Game-based Measures of Implicit Science Learning., , , , , , and . EDM, page 490-495. International Educational Data Mining Society (IEDMS), (2016)Predictive Student Modeling for Interventions in Online Classes., , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Data-Driven Generation of Rubric Parameters from an Educational Programming Environment., , , , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 490-493. Springer, (2017)Audience Participation Games: Blurring the Line Between Player and Spectator., , , , , , and . Conference on Designing Interactive Systems, page 429-440. ACM, (2017)A framework for hypothesis-driven approaches to support data-driven learning analytics in measuring computational thinking in block-based programming., , , , , and . LAK, page 530-531. ACM, (2017)An instructor dashboard for real-time analytics in interactive programming assignments., , , , , and . LAK, page 272-279. ACM, (2017)Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor., , , and . EDM, page 249-252. International Educational Data Mining Society (IEDMS), (2014)Good Communities and Bad Communities: Does Membership Affect Performance?, , , , , , , and . EDM, page 612-613. International Educational Data Mining Society (IEDMS), (2015)Estimating Effects of the Decision Support System on Educational Agents with Simulations., and . SpringSim, page 1-12. IEEE, (2020)Exploring networks of problem-solving interactions., , , and . LAK, page 21-30. ACM, (2015)