Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Curriculum tree: A knowledge-based architecture for intelligent tutoring systems

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 1992)

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

Included in the following conference series:

Abstract

This paper describes a knowledge-based architecture, called curriculum tree, for building intelligent tutoring systems. Primarily based on the subject domain knowledge structure, the architecture naturally incorporates the global curriculum planning and monitors the local learning activities. The curriculum tree can also be viewed as a structure of various teaching knowledge at different stages of learning. By adopting rule inheritance, the architecture allows additional additivity and flexibility for developing an intelligent tutoring system incrementally as well as efficiency for running rules in each learning episode. Thus, curriculum tree is an architecture towards building large scale intelligent tutoring systems. In this paper, we shall also discuss how the curriculum tree architecture is used in building Integration-Kid, a Learning Companion System which is a particularly complex type of intelligent tutoring system, in the domain of learning indefinite integration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. T. W. Chan, A. B. Baskin: Studying with the Prince: The computer as a learning Companion. International Conference of Intelligent Tutoring Systems, 1988, June, Montreal, Canada, pp. 194–200, 1988

    Google Scholar 

  2. T. W. Chan, A. B. Baskin: Learning Companion Systems. In C. Frasser & G. Gauthier (Eds.) Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education, Chapter 1, New Jersey: Ablex Publishing Corporation, pp. 6–33, 1990

    Google Scholar 

  3. T. W. Chan: Integration-Kid: A Learning Companion System. The 12th International Joint Conference on Artificial Intelligence, Sydney, Australia, Morgan Kaufmann Publishers, Inc., pp. 1094–1099, 1991

    Google Scholar 

  4. T. W. Chan: Some Techniques for Building Mathematical Intelligent Tutoring Systems. In H. Nwana (Eds.) Mathematical Intelligent Learning Environments, Intellect Books (to appear), 1992

    Google Scholar 

  5. S. J. Derry, L. W. Hawkes, & U. Ziegler: A plan-based opportunistic architecture for intelligent tutoring. International Conference of Intelligent Tutoring Systems, Montreal, Canada, pp. 116–123, 1988

    Google Scholar 

  6. W. Dick, L. Carey: The systematic design of instruction. Glenview, IL: Scott, Foresman & Company, 1985

    Google Scholar 

  7. A. Lesgold, Curriculum for intelligent tutoring systems, in Mandai & Lesgold (Ed.), Learning issues for intellignet tutoring systems, 1988.

    Google Scholar 

  8. S. A. MacMillan, D. Emme, & M. Berkowitz: Instructional planner: Lessons learned. In J. Psotka, L. D. Massey, & S. A. Mutter (Eds.), Intelligent Tutoring Systems: Lessons Learned, pp. 229–256, Hillsdale, NJ: Lawrence Erlbaum Associates Publishers, 1988

    Google Scholar 

  9. W. R. Murray: A Blackboard-based Dynamic Instructional Planner. The Eighth National Conference on Artificial Intelligence, AAAI Press/The MIT Press, pp.434–441, 1990

    Google Scholar 

  10. O. Park, R. S. Perez, & R. J. Seidel: Intelligent CAI: Old wine in new bottles, or a new vintage? In G. Kearsley (Ed.), Artificial Intelligence and Instruction: applications and methods, Reading, MA: Addison-Wesley, 1987

    Google Scholar 

  11. D. R. Peachey, G. I. McCalla: Using planning techniques in intelligent tutoring systems. International Journal of Man Machine Studies, Vol. 24, pp. 77–98, 1986

    Google Scholar 

  12. D. M. Russell, T. P. Moran, & D. S. Jordan: The Instructional Design Environment. In Intelligent Tutoring Systems: Lessons Learned, Lawrence Erlbaum Associates, pp.203–228, 1988

    Google Scholar 

  13. B. Wasson: Content Planning for Intelligent Tutoring, World Conference on Artificial Intelligence in Education, 1989

    Google Scholar 

  14. P. H. Winne, L. L. Kramer: Representing Knowledge about Teaching: DOCENT — An AI Planning System for Teaching and Learning. Intelligent Tutoring Systems: At the Crossroads of Artificial Intelligence and Education, Chapter 8, New Jersey: Ablex Publishing Corporation, pp. 162–187, 1990

    Google Scholar 

  15. B. Woolf, T. Murray, D. Suthers, K. Schultz, Knowledge Primitives for Tutoring Systems, International Conference of Intelligent Tutoring Systems, Montreal, Canada, pp. 194–200, 1988

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Computer Science and Electronic Engineering, National Central University, Chung-Li, Taiwan, 32054, R O C

    Tak -Wai Chan

Authors
  1. Tak -Wai Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Claude Frasson Gilles Gauthier Gordon I. McCalla

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chan, T.W. (1992). Curriculum tree: A knowledge-based architecture for intelligent tutoring systems. 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_19

Download citation

  • DOI: https://doi.org/10.1007/3-540-55606-0_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55606-0

  • Online ISBN: 978-3-540-47254-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation