Abstract
A complete content plan for an intelligent training system must include details of expert knowledge that enables effective teaching of the domain as well as that knowledge needed for correct job performance. When modeling expert knowledge, for the purpose of being a good teacher, an intelligent training system must be prepared to address situations where the trainee’s initial knowledge is extremely situated and concrete by representing problem situations concretely, so that there can be effective interaction with the novice. However, the expert model must have whatever additional knowledge is needed to help the novice begin to abstract from concrete experiences, thereby aiding the transfer of skills and knowledge to new problem situations. Additionally, the experts often employ domain specific simplifying assumptions in order to make a problem situation more manageable. Effective instruction must be capable of modeling and utilizing these expert strategies.
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References
Booch, G.: Object oriented design with applications. Redwood City, CA: The Benjamin/Cummings Publishing Company, Inc. 1991
Goldstein, I.P.: The genetic graph: A representation for the evolution of procedural knowledge. In: Intelligent tutoring systems. (D. Sleeman, J.S. Brown, eds.). pp. 51–77. New York: Academic Press 1983
Minsky, M.: The society of mind. New York: Simon and Schuster 1986
Sleeman, D.: Assessing aspects of competence in basic algebra. In: Intelligent tutoring systems. (D. Sleeman, J.S. Brown, eds.). pp. 185–199. New York: Academic Press 1983
Stefik, M., Bobrow, D.: Object oriented programming: Themes and variations. AI Magazine. 6, (4), 40–43 (1986)
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© 1992 Springer-Verlag Berlin Heidelberg
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Eggan, G.M., Lesgold, A.M. (1992). Modeling requirements for intelligent training systems. In: Dijkstra, S., Krammer, H.P.M., van Merriënboer, J.J.G. (eds) Instructional Models in Computer-Based Learning Environments. NATO ASI Series, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-02840-7_6
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DOI: https://doi.org/10.1007/978-3-662-02840-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08148-4
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