Skip to main content

Intelligent tutoring system for symbolic calculation

  • 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

In this paper, an ITS-DIITS, which helps student to learn calculus, is introduced as a prototype. The whole tutoring procedure of DIITS is divided into three phases: basic, advanced and exploratory exercise. In different phrases, the system provides problems embodying skills or strategies of different levels and allows operations of corresponding levels for student to use. When the student solves a problem step by step on the exercise interface, the system corrects his errors in intermediate steps in basic exercise phase, or makes advice and comments on his problem solving strategies in advanced phase. The domain knowledge, which is represented in the form of an AND/OR graph of skills, directs the search process of the problem solver, and provides template for student modeling and reference for problem generation.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. J. R. Anderson; C. F. Boyle; and B. J. Reiser (1985) Intelligent tutoring system. Science, Vol. 288, No. 4698, pp. 456–462

    Google Scholar 

  2. Y. Anzai & H. A. Simon (1979) The theory of learning by doing. Psychology Review, 86, 124–140

    Google Scholar 

  3. Lin Jianxiang (1990) Progressing to ITS, Proc. of the First Annual Meeting of the National CBE Society

    Google Scholar 

  4. J. W. Rickel (1989) Intelligent computer-aided instruction: a survey organized around system components, IEEE Tran. On Sys., Man and Syb., Vol. 19, No. 1, pp. 40–55

    Google Scholar 

  5. D. H. Sleeman & J. S. Brown (Eds.) Intelligent tutoring system. Academic Press, London, 1982

    Google Scholar 

  6. E. Wenger (1987) Artificial intelligence and tutoring systems, Morgan Kaufmann Publishers, Inc.

    Google Scholar 

  7. B. P. Woolf & D. D. McDonald (1984) Building a computer tutor: design issues, IEEE Computer, Vol. 17, No. 9, pp. 61–73

    Google Scholar 

  8. K. Vanlehn (1987) Learning one subprocedure per lesson. Artificial Intelligence, Vol. 31, No. 1, pp. 1–40.

    Google Scholar 

  9. Mao Yibin (1991) The theoretical issues and design of intelligent tutoring system for mathematical calculations, MS dissertation, Peking University

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

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

Yibin, M., Jianxiang, L. (1992). Intelligent tutoring system for symbolic calculation. 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_18

Download citation

  • DOI: https://doi.org/10.1007/3-540-55606-0_18

  • 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