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Part of the book series: NATO ASI Series ((NATO ASI F,volume 104))

Abstract

This chapter treats instruction as a generic knowledge-based task. In this view, the domain knowledge about the instructional process will be separated from the knowledge about the domain to be taught. The chapter presents an architecture for capturing this instructional knowledge, based on generic instructional tasks, generic instructional methods, and generic instructional primitives. The instructional process is generated by instantiating those entities in a given context or teaching situation. The instructional tasks embody the tasks to be realized by an instructor in an instructional process. They are defined in terms of a description of the contexts in which they can be instantiated, and a set of alternative methods that can be used for their realization. An instructional method is a knowledge-based representation of a method or procedure that can be used for executing a task. It contains conditions to determine when a method is to be preferred, or whether a method has succeeded in realizing a task. Finally, the instructional primitives are the primitive objects that are manipulated by the methods during the instructional process.

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References

  1. Ceni, S.A., Cheli, E., and McIntyre A.: Nobile: User model acquisition in a natural laboratory. In: Foundations and frontiers of adaptive learning environments. ( M Jones and H.W. Philips, eds.). New York: Springer Verlag 1991

    Google Scholar 

  2. Erol, N.: ECOLE: Epos collaborative learning environment. DELTA Project EPOS D7002, Dida*El srl. IC 90–02–02 Milano: Dida*E1 1990

    Google Scholar 

  3. Marcus, S., Stout, J., and McDermott, J.: VT: An expert elevator designer that uses knowledge-based backtracking. AI Magazine, 9, 1, 95–112. (1988)

    Google Scholar 

  4. Fernandez, I., and Diaz de Ilarraza, A., and Verdejo, F.: Building a programming tutor by dynamic planning: Case studies and a proposal. Proceedings of Intelligent Tutoring Systems, Montreal: University of Montreal 1988

    Google Scholar 

  5. McIntyre, A.: Representation of author’s courseware models. In: Authoring Environments for Computer-based Courseware. ( R. Lewis, ed.). New York: Springer Verlag 1991

    Google Scholar 

  6. Rademakers, P.: Task analysis of an equipment assignement problem. Brussel: AI-Lab, Vrije Universiteit Brussel 1991

    Google Scholar 

  7. Simon H.A.: The sciences of the artificial. Cambridge, MA: MIT Press 1969

    Google Scholar 

  8. Steels, L.: Second generation expert systems. Future Generation Computer Systems. 1, (4), 213–221 (1985)

    Article  Google Scholar 

  9. Steels, L., and Van de Velde, W.: Learning in second generation expert systems. In: Knowledge-based problem-solving. (J.S. Kowalik, ed.). pp. 270–295. Englewood Cliffs, NJ: Prentice-hall 1986

    Google Scholar 

  10. Steels, L.: Components of expertise. AI Magazine. 11, (2) 28–49 (1990)

    Google Scholar 

  11. Toska: TOSKA final report. CEC Delta Project D1007. Friedrichshafen: Domier 1991

    Google Scholar 

  12. Toska: Deliverable 11: Report on work-package 9, Validation. The Toska Consortium. Friedrichshafen: Dornier 1991

    Google Scholar 

  13. Van de Velde, W.: Reasoning, behaviour and learning: A knowledge level perspective. Proceedings of COGNITIVA-90. Madrid, Spain 1990

    Google Scholar 

  14. Van Marcke, K.: KRS: An object-oriented representation language. Revue d’Intelligence Artificielle. 1, (4) 43–68 (1987)

    Google Scholar 

  15. Van Marcke, K.: A generic tutoring environment. Proceedings of the 9th European Conference on Artificial Intelligence (ECAI). London: Pitman Publishing 1990

    Google Scholar 

  16. Vanwelkenhuysen, J.: Towards the development of an expert system for troubleshooting printed circuit boards. VUB AI Memo 89–17, Brussels: VUB AI-Lab 1989

    Google Scholar 

  17. Verdejo, M.F., Mayorga, I.: Rewriting capra in GTE. Report de Recerca. Barcelona: Universitat Politècnica de Catalunya 1991

    Google Scholar 

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© 1992 Springer-Verlag Berlin Heidelberg

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Van Marcke, K. (1992). A generic task model for instruction. 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_11

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  • DOI: https://doi.org/10.1007/978-3-662-02840-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-08148-4

  • Online ISBN: 978-3-662-02840-7

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