Skip to main content
SpringerLink
Log in

The uses of multiple student inputs in modeling and lesson planning in CAI and ICAI programs

  • Conference paper
  • First Online:
Computer Assisted Learning (ICCAL 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 602))

Included in the following conference series:

Abstract

Responding appropriately to student errors requires some model of the student with which to determine the most likely cause of the errors. In a conventional CAI program the model is implicit and is represented by the hard-coded relationship between errors and corrective feedback. In an intelligent tutoring system (ICAI program) student modeling can be done dynamically as student responses are generated. In both cases, multiple inputs about causally related variables obtained prior to any tutoring provides a rich source of information about the cognitive state of the student. As a result it is possible to produce a more robust student model and to generate a more effective sequence of lessons to repair the student's misconceptions. Examples of such an approach used in the implementation of both a CAI and a ICAI program are presented.

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. Barbara Brecht, Marlene Jones. Student models: the genetic graph approach. International Journal of Man-Machine Studies. 1988, Vol. 28, pp. 483–504.

    Google Scholar 

  2. Richard R. Burton. Diagnosing bugs in a simple procedural skill. In Derek. H. Sleeman, John. S. Brown, (Eds.), Intelligent Tutoring Systems. Academic Press, 1982, pp. 157–183.

    Google Scholar 

  3. C. John Dickinson, C. H. Goldsmith, D. L. Sackett. Macman: a digital computer model for teaching some basic principles of hemodynamics. Journal of Clinical Computing. 1973. Vol. 2, pp. 42–50.

    Google Scholar 

  4. Dedre Gentner, Albert L. Stevens (Eds.). Mental Models. Lawrence Erlbaum Associates, 1983.

    Google Scholar 

  5. Nakhoon Kim, Martha Evens, Joel A. Michael, Allen A. Rovick. CIRCSIMTUTOR: An intelligent tutoring system for circulatory physiology. In Hans Maurer (Ed), Computer Assisted Learning (Proceedings of the International Conference on Computer-Assisted Learning. Springer-Verlag, 1989, pp. 254–266.

    Google Scholar 

  6. Jun Li, Allen A. Rovick, Joel A. Michael. ABASE: A hypermedia-based tutoring and authoring system. Paper accepted for presentation at the 4th ICCAL Conference, 1992.

    Google Scholar 

  7. Stuart A. Macmillan, D. Emme, M. Berkowitz. Instructional planner. In Joseph Psotka, L. D. Massey, S. A. Mutter (Eds.). Intelligent Tutoring Systems: Lessons Learned. Lawrence Erlbaum Associates Inc, 1988, pp. 229–256.

    Google Scholar 

  8. Joel A. Michael, Allen A. Rovick. The uses of CBE in teaching the functions of complex systems. Proceedings of the 27th International Association for the Development of Computer-based Instructional Systems Meeting, New Orleans, LA, 1986, pp. 43–48.

    Google Scholar 

  9. Joel A. Michael, Allen A. Rovick. Does use of a CBE program assist students to learn? Federation of American Societies for Experimental Biology Annual Meeting, Atlanta, GA, 1991, p. A1115.

    Google Scholar 

  10. Allen A. Rovick, Joel A. Michael. CIRCSIM: An IBM PC computer teaching exercise on blood pressure regulation. XXX International Union of Physiological Sciences Congress, Vancouver, Canada, 1986, p. 318.

    Google Scholar 

  11. Allen A. Rovick, Joel A. Michael. GASP-PC: A computer teaching program on the chemical control of breathing. Federation of American Societies for Experimental Biology Annual Meeting, Atlanta, GA, 1991, p. 474.

    Google Scholar 

  12. Leemseop Shim, Martha Evens, Joel A. Michael, Allen A. Rovick. Effective cognitive modeling in an intelligent tutoring system for cardiovascular physiology. Proceedings of the 4th Annual IEEE Symposium on Computer-Based Medical Systems, Baltimore, MD, 1991, pp. 338–345.

    Google Scholar 

  13. Patrick Suppes. The future of intelligent tutoring systems: problems and potentials. Presented at ITS-88, Montreal, Canada, 1988.

    Google Scholar 

  14. Kurt VanLehn. Student modeling. In Martha C. Poison, J. Jeffrey Richardson (Eds). Foundations of Intelligent Tutoring Systems. Lawrence Erlbaum Associates Publishers, 1988, pp. 55–78.

    Google Scholar 

  15. Etienne Wenger. Artificial Intelligence and Tutoring Systems. Morgan Kaufmann Publishers, Inc., 1987.

    Google Scholar 

  16. Chong W. Woo, Martha Evens, Joel Michael, Allen Rovick. Dynamic instructional planning for an intelligent physiology tutoring system. Proceedings of the 4th Annual IEEE Symposium on Computer-Based Medical Systems, Baltimore, MD, 1991, pp. 226–233.

    Google Scholar 

  17. Masoud Yazdani. Intelligent tutoring systems: an overview. In Robert W. Lawler, Masoud Yazdani (Eds.). Artificial Intelligence and Education, Vol.1. Ablex Publishing, 1987, pp. 183–201.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Physiology, Rush Medical College, 60612, Chicago, Illinois

    Joel Michael & Allen Rovick

  2. Computer Science Department, Illinois Institute of Technology, 60616, Chicago, Illinois

    Martha Evens, Leemseop Shim & Chong Woo

  3. Dong Duck Women's University, Seoul, Korea

    Nahkoon Kim

Authors
  1. Joel Michael
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Allen Rovick
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Martha Evens
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Leemseop Shim
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chong Woo
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Nahkoon Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Ivan Tomek

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Michael, J., Rovick, A., Evens, M., Shim, L., Woo, C., Kim, N. (1992). The uses of multiple student inputs in modeling and lesson planning in CAI and ICAI programs. In: Tomek, I. (eds) Computer Assisted Learning. ICCAL 1992. Lecture Notes in Computer Science, vol 602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55578-1_90

Download citation

  • DOI: https://doi.org/10.1007/3-540-55578-1_90

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55578-0

  • Online ISBN: 978-3-540-47221-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation