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Language and Discourse Are Powerful Signals of Student Emotions during Tutoring
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D'Mello, S. K.; Graesser, A. – IEEE Transactions on Learning Technologies, 2012
We explored the possibility of predicting student emotions (boredom, flow/engagement, confusion, and frustration) by analyzing the text of student and tutor dialogues during interactions with an Intelligent Tutoring System (ITS) with conversational dialogues. After completing a learning session with the tutor, student emotions were judged by the…
Descriptors: Tutoring, Intelligent Tutoring Systems, Psychological Patterns, Prediction