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A framework for intelligent knowledge sequencing and task sequencing

  • Peter L. Brusilovsky
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 608)

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.

Keywords

Procedural Knowledge Task Sequencing Tutoring System Intelligent Tutoring System Conceptual Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Peter L. Brusilovsky
    • 1
  1. 1.International Centre for Scientific and Technical InformationMoscowRussia

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