Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies-Reference-Cited by-同舟云学术

Predicting Co-occurring Emotions in MetaTutor when Combining Eye-Tracking and Interaction Data from Separate User Studies

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:LAK23: 13th International Learning Analytics and Knowledge Conference
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Author:

Murali Rohit¹^ORCID,Conati Cristina¹^ORCID,Azevedo Roger²^ORCID

Affiliation:

1. Department of Computer Science, The University of British Columbia, Canada

2. University of Central Florida, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576050.3576108

Reference40 articles.

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2. Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive–affective states during interactions with three different computer-based learning environments

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4. Grawemeyer B , Mavrikis M , Holmes W , Gutierrez-Santos S , Wiedmann M and Rummel N 2016 Affecting off-task behaviour: how affect-aware feedback can improve student learning Proceedings of the Sixth International Conference on Learning Analytics & Knowledge , pp 104– 13 Grawemeyer B, Mavrikis M, Holmes W, Gutierrez-Santos S, Wiedmann M and Rummel N 2016 Affecting off-task behaviour: how affect-aware feedback can improve student learning Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp 104–13

5. Emotion Recognition in Affective Tutoring Systems: Collection of Ground-truth Data

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