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Affective Tutors: Automatic Detection of and Response to Student Emotion.

, , , , and . Advances in Intelligent Tutoring Systems, 308, (2010)

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Using an Intelligent Tutor and Math Fluency Training to Improve Math Performance., , and . Int. J. Artif. Intell. Educ., 21 (1-2): 135-152 (2011)Causal Modeling to Understand the Relationship between Student Attitudes, Affect and Outcomes., , and . EDM, page 344-345. International Educational Data Mining Society, (2013)Children Creating Pedagogical Avatars: Cross-cultural Differences in Drawings and Language., , , and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Repairing Deactivating Negative Emotions with Student Progress Pages., , , , , , and . AIED, volume 7926 of Lecture Notes in Computer Science, page 795-798. Springer, (2013)Student Engagement Dataset., , , , , , , , , and . ICCVW, page 3621-3629. IEEE, (2021)La Mort du Chercheur: How well do students' subjective understandings of affective representations used in self- report align with one another's, and researchers'?, , , , , and . EDM (Workshops), volume 1446 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Promoting Growth Mindset Within Intelligent Tutoring Systems., , and . EDM (Workshops), volume 1183 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Inferring Unobservable Learning Variables from Students' Help Seeking Behavior., , , and . Intelligent Tutoring Systems, volume 3220 of Lecture Notes in Computer Science, page 782-784. Springer, (2004)Exploring Gritty Students' Behavior in an Intelligent Tutoring System., , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 79-83. Springer, (2018)AgentX: Using Reinforcement Learning to Improve the Effectiveness of Intelligent Tutoring Systems., and . Intelligent Tutoring Systems, volume 3220 of Lecture Notes in Computer Science, page 564-572. Springer, (2004)