16 search results - page 3 / 4 » Predicting Student Emotions in Computer-Human Tutoring Dialo... |
AIED
2009
Springer
15 years 2 months ago
2009
Springer
We explored the possibility of predicting learners’ affective states (boredom, flow/engagement, confusion, and frustration) by monitoring variations in the cohesiveness of tutori...
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UM
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Recent progress has been made by using sensors with Intelligent Tutoring Systems in classrooms in order to predict the affective state of students users. If tutors are a...
SIGDIAL
2010
14 years 7 months ago
2010
Classifying the dialogue act of a user utterance is a key functionality of a dialogue management system. This paper presents a data-driven dialogue act classifier that is learned ...
UMUAI
2008
14 years 9 months ago
2008
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
ACII
2011
Springer
13 years 9 months ago
2011
Springer
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...