Viewing student affect and learning through classroom observation and physical sensors

Toby Dragon, Ivon Arroyo, Beverly P. Woolf, Winslow Burleson, Rana El Kaliouby, Hoda Eydgahi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

Abstract

We describe technology to dynamically collect information about students' emotional state, including human observation and real-time multi-modal sensors. Our goal is to identify physical behaviors that are linked to emotional states, and then identify how these emotional states are linked to student learning. This involves quantitative field observations in the classroom in which researchers record the behavior of students who are using intelligent tutors. We study the specific elements of learner's behavior and expression that could be observed by sensors. The long-term goal is to dynamically predict student performance, detect a need for intervention, and determine which interventions are most successful for individual students and the learning context (problem and emotional state).

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 9th International Conference, ITS 2008, Proceedings
Pages29-39
Number of pages11
DOIs
StatePublished - Dec 1 2008
Event9th International Conference on Intelligent Tutoring Systems, ITS 2008 - Montreal, QC, Canada
Duration: Jun 23 2008Jun 27 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Intelligent Tutoring Systems, ITS 2008
CountryCanada
CityMontreal, QC
Period6/23/086/27/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Dragon, T., Arroyo, I., Woolf, B. P., Burleson, W., El Kaliouby, R., & Eydgahi, H. (2008). Viewing student affect and learning through classroom observation and physical sensors. In Intelligent Tutoring Systems - 9th International Conference, ITS 2008, Proceedings (pp. 29-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5091 LNCS). https://doi.org/10.1007/978-3-540-69132-7-8