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Viewing Student Affect and Learning through Classroom Observation and Physical Sensors

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Intelligent Tutoring Systems (ITS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5091))

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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).

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Beverley P. Woolf Esma Aïmeur Roger Nkambou Susanne Lajoie

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© 2008 Springer-Verlag Berlin Heidelberg

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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: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds) Intelligent Tutoring Systems. ITS 2008. Lecture Notes in Computer Science, vol 5091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69132-7_8

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  • DOI: https://doi.org/10.1007/978-3-540-69132-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69130-3

  • Online ISBN: 978-3-540-69132-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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