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Classifying Q&A from Teachers' Speech: Moving Toward an Automated System of Dialogic Analysis.

, , , and . EDM, page 282-288. International Educational Data Mining Society (IEDMS), (2015)

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Automatic detection of learner's affect from conversational cues., , , , and . User Model. User-Adapt. Interact., 18 (1-2): 45-80 (2008)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)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)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)Toward Fully Automated Person-Independent Detection of Mind Wandering., and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 37-48. Springer, (2014)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)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)