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A framework for intelligent knowledge sequencing and task sequencing

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Intelligent Tutoring Systems (ITS 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 608))

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Abstract

Most effective human tutors possess the skill of adaptive sequencing of knowledge and tasks. This skill is also the key function of many important tutoring systems and learning environments. A number of workers in the field of intelligent tutoring systems have tried to build a framework for intelligent knowledge and task sequencing. In this paper we briefly discuss previous work on building a framework and strategies for knowledge and task sequencing. Then we suggest several additional components we have designed to complete the framework and describe a pragmatic strategy for multiple-kind, multiple-concept task sequencing based upon the framework.

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Authors and Affiliations

  1. International Centre for Scientific and Technical Information, Kuusinen str. 21b, 125252, Moscow, Russia

    Peter L. Brusilovsky

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  1. Peter L. Brusilovsky
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Editor information

Claude Frasson Gilles Gauthier Gordon I. McCalla

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© 1992 Springer-Verlag Berlin Heidelberg

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Brusilovsky, P.L. (1992). A framework for intelligent knowledge sequencing and task sequencing. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds) Intelligent Tutoring Systems. ITS 1992. Lecture Notes in Computer Science, vol 608. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55606-0_59

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  • DOI: https://doi.org/10.1007/3-540-55606-0_59

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55606-0

  • Online ISBN: 978-3-540-47254-4

  • eBook Packages: Springer Book Archive

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