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Inferring Unobservable Learning Variables from Students’ Help Seeking Behavior

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Intelligent Tutoring Systems (ITS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3220))

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Abstract

Results of an evaluation of students’ attitudes and their relationship to student behaviors within a tutoring system are presented. Starting from a correlation analysis that integrates survey-collected student attitudes, learning variables, and behaviors while using the tutor, we constructed a Bayesian Network that infers attitudes and perceptions towards help and the tutoring system.

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References

  • Aleven, V., Stahl, E., Schworm, S., Fischer, F., Wallace, R.: Help Seeking and Help Design in Interactive Learning Environments Review of Educational Research (2003)

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Massachusetts Amherst,  

    Ivon Arroyo, Tom Murray & Beverly P. Woolf

  2. Information Sciences Institute, University of Southern California,  

    Carole Beal

Authors
  1. Ivon Arroyo
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  2. Tom Murray
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  3. Beverly P. Woolf
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  4. Carole Beal
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Editor information

Editors and Affiliations

  1. Department of Computer Science, North Carolina State University Raleigh, NC 27695, USA

    James C. Lester

  2. Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS), Po. B 15.064, 91.501-970, Porto Alegre, RS, Brazil

    Rosa Maria Vicari

  3. Departamento de Tecnologia da Informação, Universidade Federal de Alagoas, Maceió - AL, Brazil

    Fábio Paraguaçu

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© 2004 Springer-Verlag Berlin Heidelberg

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Arroyo, I., Murray, T., Woolf, B.P., Beal, C. (2004). Inferring Unobservable Learning Variables from Students’ Help Seeking Behavior. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2004. Lecture Notes in Computer Science, vol 3220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_74

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  • DOI: https://doi.org/10.1007/978-3-540-30139-4_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22948-3

  • Online ISBN: 978-3-540-30139-4

  • eBook Packages: Springer Book Archive

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