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What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions

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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

One-to-one tutoring is an extremely effective method for producing learning gains in students and for contributing to greater understanding and positive attitudes towards learning. However, learning inevitably involves failure and a host of positive and negative affective states. In an attempt to explore the link between emotions and learning this research has collected data on student affective states and engagement levels during high stakes learning in one-to-one expert tutoring sessions. Our results indicate that only the affective states of confusion, happiness, anxious, and frustration occurred at significant levels. We also investigated the extent to which expert tutors adapt their pedagogical and motivational strategies in response to learners’ affective and cognitive states.

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Author information

Authors and Affiliations

  1. Department of Psychology, Rhodes College, 2000 North Parkway, Memphis, TN 38112, USA

    Blair Lehman, Melanie Matthews & Natalie Person

  2. Institute for Intelligent Systems, The University of Memphis, 365 Innovation Drive, Memphis, TN 38152, USA

    Sidney D’Mello

Authors
  1. Blair Lehman
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  2. Melanie Matthews
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  3. Sidney D’Mello
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  4. Natalie Person
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Editor information

Beverley P. Woolf Esma Aïmeur Roger Nkambou Susanne Lajoie

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© 2008 Springer-Verlag Berlin Heidelberg

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Lehman, B., Matthews, M., D’Mello, S., Person, N. (2008). What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions. 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_10

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  • DOI: https://doi.org/10.1007/978-3-540-69132-7_10

  • 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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