Skip to main content
SpringerLink
Log in

A classification and synthesis of student modelling techniques in intelligent computer-assisted instruction

  • Student Modeling
  • Conference paper
  • First Online:
Computer Assisted Learning (ICCAL 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 438))

Included in the following conference series:

Abstract

A classification of existing types of student models with a view to their diagnostic capabilities and the domain-dependency of their updating mechanisms is made. We propose a synthesis of known techniques to obtain a model of the student's domain knowledge and a model of his individual features which can be used in a wider class of structured domains.

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.

References

  1. Anderson J.R. and Skwarecki E. (1986), The Automated Tutoring of Introductory Computer Programming, Communications of the ACM, 29, 9, 842–849.

    Article  Google Scholar 

  2. Brown J.S., Burton R.R. and de Kleer J. (1982), Pedagogical, natural language and knowledge engineering with SOPHIE — I,II,III, in Sleeman & Brown (Eds), Intelligent Tutoring Systems, Academic Press, 227–282.

    Google Scholar 

  3. Burton R.R. (1982), Diagnosing Bugs in Simple Procedural Skills, In Sleeman & Brown (Eds)., Intelligent Tutoring Systems, Academic Press, 157–192.

    Google Scholar 

  4. Burton R. and Brown J.S. (1982), An Investigation of Computer Coaching for Informal Learning Activities, in Sleeman & Brown (Eds.) Intelligent Tutoring Systems, 79–99.

    Google Scholar 

  5. Dede Chr. (1986), A review and synthesis of recent research in Intelligent Computer Assisted Instruction, International Journal of Man-Machine Studies, 24, 329–353.

    Google Scholar 

  6. Carroll J.M. and McKendree J. (1987), Interface Design Issues for Advice giving expert systems. Communications of the ACM, 30, 1, 14–31.

    Article  Google Scholar 

  7. Clancey W.J. (1982), Tutoring Rules for Guiding a Case Method Dialogue, In Sleeman & Brown (Eds)., Intelligent Tutoring Systems, Academic Press, 201–225.

    Google Scholar 

  8. Coombs M. and Alty J. (1984), Expert Systems: an Alternative Paradigm, International Journal of Man-Machine Studies, 20, 21–43.

    Google Scholar 

  9. Genesereth M.R. (1982), The role of plans in intelligent teaching systems. In Sleeman & Brown (Eds), Intelligent Tutoring Systems, Academic Press, 137–155.

    Google Scholar 

  10. Goldstein I.P. (1982), The Genetic Graph: a Representation for the Evolution of Procedural Knowledge. In Sleeman & Brown, (Eds)., Intelligent Tutoring Systems, Academic Press, 51–77.

    Google Scholar 

  11. Heines J. and O'Shea T. (1985), The design of a rule-based CAI tutorial. International Journal of Man-Machine Studies, 23, 1–25.

    Google Scholar 

  12. Johnson W.L. and Soloway E. (1985) PROUST: An Automated Debugger for Pascal Programs, BYTE, 10, 4, 179–190.

    Google Scholar 

  13. Kimball R. (1982), A Self Improving Tutor for Symbolic Integration, In Sleeman & Brown (Eds)., Intelligent Tutoring Systems, London: Academic Press, 283–307.

    Google Scholar 

  14. Peachey D. and McCalla G. (1986), Using planning techniques in Intelligent Tutoring Systems. International Journal of Man-Machine Studies, 24, 77–98.

    Google Scholar 

  15. Radev R. (1987), An Intelligent System for Specialized Teaching, Proceedings of the IFIP WG 3.2 Conference “A Computer for Each Student and Its Impact on Teaching and Curriculum in the University”, Ed. by R. Lewis and E. Tagg, North-Holland, Amsterdam, 77–83.

    Google Scholar 

  16. Rich E. (1983), Users are Individuals: Individualizing User Models, International Journal of Man-Machine Studies, 18, 199–214.

    Google Scholar 

  17. Ross P., Jones J. and Millington M. (1987), User Modelling in Intelligent Teaching and Tutoring, in R.Lewis, E.D.Tagg (Eds.) Trends in Computer Assisted Education, Blackwell Scientific Publications, 32–44.

    Google Scholar 

  18. Self J. (1979) Student Models and Artificial Intelligence, Computers & Education, 3, 309–312.

    Google Scholar 

  19. Self J. (1985), A Perspective on Intelligent Computer-Assisted Learning, Journal of Computer-Assisted Learning, 1, 159–166.

    Google Scholar 

  20. Self J. (1989), Bypassing the Intractable Problem of Student Modelling, Proceedings of ITS-88, Montreal, June 1–3, 1988.

    Google Scholar 

  21. Sleeman D. (1982), Assessing aspects of competence in basic algebra, in Sleeman & Brown (Eds), Intelligent Tutoring Systems, London, Academic Press, 185–199.

    Google Scholar 

  22. Sleeman D. (1985) UMFE: A User Modelling Front-End Subsystem. International Journal of Man-Machine Studies, 23, 71–88.

    Google Scholar 

  23. Sleeman D. & Brown J.S. (1982), Intelligent Tutoring Systems: Introduction, London, Academic Press, 1–12.

    Google Scholar 

  24. Spada H., Stumpf M. and Opwis K. (1989), The Constructive Process of Knowledge Acquisition: Student Modelling. In H.Maurer (ed.) Computer-Assisted Learning, Proc. of ICCAL'89, Springer Lecture Notes in Computer Science Vol 360, 486–499.

    Google Scholar 

  25. Takeushi A. and Otsuki S. (1986), Method for Inferring a Student Model in an Intelligent Tutoring System, Proceedings of the International Computer Symposium, Tainan, Taiwan, Dec 17–19.

    Google Scholar 

  26. Vassileva J. (1990), An Architecture and Methodology for Creating a Domain-Independent, Plan-Based Intelligent Tutoring System, to appear in Educational and Training Technology International, Kogan Page, London.

    Google Scholar 

  27. Young R.M. and O'Shea T. (1981), Errors in Children's Subrtaction, Cognitive Science, 5, 153–177.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Software Engineering Department, Institute of Mathematics, Bulgarian Academy of Sciences, Acad. Bonchev Str. Bl. 8, BG-1113, Sofia, Bulgaria

    Julita Vassileva

Authors
  1. Julita Vassileva
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Douglas H. Norrie Hans-Werner Six

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vassileva, J. (1990). A classification and synthesis of student modelling techniques in intelligent computer-assisted instruction. In: Norrie, D.H., Six, HW. (eds) Computer Assisted Learning. ICCAL 1990. Lecture Notes in Computer Science, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020881

Download citation

  • DOI: https://doi.org/10.1007/BFb0020881

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52699-5

  • Online ISBN: 978-3-540-47111-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation