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How Anxiety Affects Affect: A Quantitative Ethnographic Investigation Using Affect Detectors and Data-Targeted Interviews.

, , , , , and . ICQE, volume 1522 of Communications in Computer and Information Science, page 268-283. Springer, (2021)

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Field Observations of Engagement in Reasoning Mind., , , , and . AIED, volume 7926 of Lecture Notes in Computer Science, page 624-627. Springer, (2013)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)Cost-Effective, Actionable Engagement Detection at Scale., and . EDM, page 345-346. International Educational Data Mining Society (IEDMS), (2014)Students' Verbalized Metacognition During Computerized Learning., , , , , and . CHI, page 680:1-680:12. ACM, (2021)Predicting Math Success in an Online Tutoring System Using Language Data and Click-Stream Variables: A Longitudinal Analysis., , , , and . LDK, volume 70 of OASIcs, page 25:1-25:13. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures., , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Hint Availability Slows Completion Times in Summer Work., , , , , , , , and . EDM, page 388-393. International Educational Data Mining Society (IEDMS), (2016)Using natural language processing tools to develop complex models of student engagement., , , , , and . ACII, page 542-547. IEEE Computer Society, (2017)Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?, , , , , , , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 198-211. Springer, (2018)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)