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The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions

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Learning Issues for Intelligent Tutoring Systems

Part of the book series: Cognitive Science ((COGNITIVE SCIEN))

Abstract

A knowledge engineer can be viewed as a special kind of student. Her goal is to develop computational models of complex problem solving by watching and questioning an expert and incrementally testing her model on a set of selected problem cases.1 Characteristically, the knowledge engineer (KE) is in complete control of this process. Her construction of a problem-solving model is almost completely self-directed; she is an active learner. The KE thus provides us with an excellent basis for studying methods that any student might use for approaching new problem domains and acquiring the knowledge to solve a set of practical problems.

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Authors
  1. William J. Clancey
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Editor information

Editors and Affiliations

  1. Deutsches Institut für Fernstudien, Universität Tübingen, 7400, Tübingen, Federal Republic of Germany

    Heinz Mandl

  2. Learning Research and Development Center, University of Pittsburgh, 15260, Pittsburgh, PA, USA

    Alan Lesgold

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© 1988 Springer-Verlag New York Inc.

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Clancey, W.J. (1988). The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions. In: Mandl, H., Lesgold, A. (eds) Learning Issues for Intelligent Tutoring Systems. Cognitive Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6350-7_5

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  • DOI: https://doi.org/10.1007/978-1-4684-6350-7_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96616-8

  • Online ISBN: 978-1-4684-6350-7

  • eBook Packages: Springer Book Archive

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