Posture as a Predictor of Learner ’ s Affective Engagement

  title={Posture as a Predictor of Learner ’ s Affective Engagement},
  author={Sidney K. D’Mello and Patrick Chipman},
This research demonstrates the utility of automatically monitoring a student’s posture to track the affective states of boredom (low engagement) and flow (high engagement), which have been shown to influence learning. After a tutoring session with AutoTutor, the affective states of the student were rated by the learner, a peer, and two trained judges. Our results indicated that the affective state of flow was manifested through heightened pressure exerted on the seat of a pressure sensitive… CONTINUE READING
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