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Semantic Features of Math Problems: Relationships to Student Learning and Engagement.

, , , , , and . EDM, page 223-230. International Educational Data Mining Society (IEDMS), (2016)

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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)Towards general models of effective science inquiry in virtual performance assessments., , and . J. Comput. Assist. Learn., 32 (3): 267-280 (2016)A Re-Analysis and Synthesis of Data on Affect Dynamics in Learning., , , and . IEEE Trans. Affect. Comput., 14 (2): 1696-1710 (April 2023)Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain., , , , , , and . J. Learn. Anal., 8 (3): 28-44 (October 2021)Improving Engagement in an E-Learning Environment., , , , and . AIED, volume 9112 of Lecture Notes in Computer Science, page 730-733. Springer, (2015)Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments., , , , , and . UMAP, page 131-138. ACM, (2018)Student online behaviors: correlations to math identity., , , , , , and . LAK, page 441-445. ACM, (2018)Semantic Features of Math Problems: Relationships to Student Learning and Engagement., , , , , and . EDM, page 223-230. International Educational Data Mining Society (IEDMS), (2016)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)WTF? Detecting Students Who Are Conducting Inquiry Without Thinking Fastidiously., , , , and . UMAP, volume 7379 of Lecture Notes in Computer Science, page 286-296. Springer, (2012)