Aligning and Comparing Data on Emotions Experienced during Learning with MetaTutor

作者: Jason M. Harley , François Bouchet , Roger Azevedo

DOI: 10.1007/978-3-642-39112-5_7

关键词:

摘要: In this study we aligned and compared self-report on-line emotions data on 67 college students’ at five different points in time over the course of their interactions with MetaTutor. Self-reported emotion as well facial expression were converged analyzed. Results across channels revealed that neutral positively-valenced basic learner-centered emotional states represented majority experienced The results a decline intensity learning session. substantial decrease number learners’ expressions from one to two, but fairly stable pattern for remainder session, participants who other states, transitioning back state between self-reports. Agreement was 75.6%.

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