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Modeling Classroom Discourse: Do Models of Predicting Dialogic Instruction Properties Generalize across Populations?

, , , , , , and . EDM, page 444-447. International Educational Data Mining Society (IEDMS), (2015)

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A Review and Meta-Analysis of Multimodal Affect Detection Systems., and . ACM Comput. Surv., 47 (3): 6:1-6:36 (2015)Frontiers of Affect-Aware Learning Technologies., and . IEEE Intelligent Systems, 27 (6): 86-89 (2012)Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms., , , , , , , , and . EDM, page 288-291. International Educational Data Mining Society (IEDMS), (2016)The Relationship Between Modality and Metacognition While Interacting with AutoTutor., , , and . AIED, volume 200 of Frontiers in Artificial Intelligence and Applications, page 674-676. IOS Press, (2009)Automatic detection of learner's affect from conversational cues., , , , and . User Model. User-Adapt. Interact., 18 (1-2): 45-80 (2008)The Impact of System Feedback on Learners' Affective and Physiological States., , , , and . Intelligent Tutoring Systems (1), volume 6094 of Lecture Notes in Computer Science, page 264-273. Springer, (2010)Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor., , , and . Intelligent Tutoring Systems, volume 5091 of Lecture Notes in Computer Science, page 9-18. Springer, (2008)Towards Automated Detection and Regulation of Affective States During Academic Writing., and . AIED, volume 7926 of Lecture Notes in Computer Science, page 904-907. Springer, (2013)Connecting the Dots Towards Collaborative AIED: Linking Group Makeup to Process to Learning., and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 545-556. Springer, (2018)Identifying Learning Conditions that Minimize Mind Wandering by Modeling Individual Attributes., , and . Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, page 94-103. Springer, (2014)