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The relative impact of student affect on performance models in a spoken dialogue tutoring system., , и . User Model. User-Adapt. Interact., 18 (1-2): 11-43 (2008)Evaluating Topic-Word Review Analysis for Understanding Student Peer Review Performance., и . EDM, стр. 200-207. International Educational Data Mining Society, (2013)Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data., , и . EDM, стр. 211-220. www.educationaldatamining.org, (2010)A Reinforcement Learning approach to evaluating state representations in spoken dialogue systems., и . Speech Commun., 50 (8-9): 683-696 (2008)Iterative Design and Classroom Evaluation of Automated Formative Feedback for Improving Peer Feedback Localization., , и . Int. J. Artif. Intell. Educ., 27 (3): 582-622 (2017)When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?, и . AIED, том 6738 из Lecture Notes in Computer Science, стр. 81-89. Springer, (2011)Illustrations or Graphs: Some Students Benefit from One over the Other., и . AIED, том 7926 из Lecture Notes in Computer Science, стр. 746-749. Springer, (2013)Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems., , , и . LREC, European Language Resources Association, (2008)Exploiting Word-level Features for Emotion Prediction., , и . SLT, стр. 110-113. IEEE, (2006)Identifying User Corrections Automatically in Spoken Dialogue Systems., , и . NAACL, The Association for Computational Linguistics, (2001)