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International Conference on Intelligent Tutoring Systems

ITS 1998: Intelligent Tutoring Systems pp 234–243Cite as

Cognitive Task Analysis in Service of Intelligent Tutoring System Design: A Case Study in Statistics

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1452))

Abstract

Cognitive task analysis involves identifying the components of a task that are required for adequate performance. It is thus an important step in ITS design because it circumscribes the curriculum to be taught and provides a decomposition of that curriculum into the knowledge and subskills students must learn. This paper describes several different kinds of cognitive task analysis and organizes them according to a taxonomy of theoretical/empirical ∞ prescriptive/descriptive approaches. Examples are drawn from the analysis of a particular statistical reasoning task. The discussion centers on how different approaches to task analysis provide different perspectives on the decomposition of a complex skill and compares these approaches to more traditional methods.

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Author information

Authors and Affiliations

  1. Center for Innovation in Learning, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

    Marsha C. Lovett

Authors
  1. Marsha C. Lovett
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Editor information

Editors and Affiliations

  1. Air Force Research Laboratory, 1880 Carswell Avenue, Lackland, AFB, TX, 78236-5507, USA

    Barry P. Goettl  & Valerie J. Shute  & 

  2. Mei Technology Corporation, 8930 Fourwinds Drive, #450, San Antonio, TX, 78239, USA

    Henry M. Halff

  3. Computer Science Department, St. Mary’s University, 1 Camino Santa Maria, San Antonio, TX, 78228-8524, USA

    Carol L. Redfield

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© 1998 Springer-Verlag Berlin Heidelberg

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Lovett, M.C. (1998). Cognitive Task Analysis in Service of Intelligent Tutoring System Design: A Case Study in Statistics. In: Goettl, B.P., Halff, H.M., Redfield, C.L., Shute, V.J. (eds) Intelligent Tutoring Systems. ITS 1998. Lecture Notes in Computer Science, vol 1452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68716-5_29

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  • DOI: https://doi.org/10.1007/3-540-68716-5_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64770-6

  • Online ISBN: 978-3-540-68716-0

  • eBook Packages: Springer Book Archive

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