Towards an adaptive hypermedia component for an intelligent learning environment

  • Peter Brusilovsky
  • Leonid Pesin
  • Mikhail Zyryanov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 753)


This paper discusses the problem of integration of hypermedia and Intelligent Learning Environments (ILEs) technologies and the problem of creating an adaptive hypermedia component for ILEs. Our experience of creating an adaptive on-line help facilities for ITEM/IP system is described. This experience forms a background for our hypermedia work and provides some good ideas for it. We also present our approach to integration of a hypermedia component into internal structure of ILE and illustrate it with two examples of adaptive hypermedia components for the most recent versions of our ILEs ISIS-Tutor and ITEM/PG. Finally, we summarize main features of this approach, provide some references to related works, and consider some issues of adaptive hypermedia in general.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. Barr, M. Beard, R.C. Atkinson: The computer as tutorial laboratory: the Stanford BIP project. International Journal on the Man-Machine Studies 8, 567–596 (1975)Google Scholar
  2. 2.
    P.L. Brusilovsky: Turingal — the language for teaching the principles of programming. In: EUROLOGO 91. Proc. Third European Logo Conference, Parma. Italy, 27–30 August 1991, A.S.I., Parma, pp. 423–432Google Scholar
  3. 3.
    P.L. Brusilovsky: A framework for intelligent knowledge sequencing and task sequencing. In: C. Frasson, G. Gauthier and G.I. McCalla (eds.): Intelligent Tutoring Systems. Proceedings of the Second International Conference, ITS'92. Berlin: Springer-Verlag 1992, pp. 499–506Google Scholar
  4. 4.
    P.L. Brusilovsky: Intelligent Tutor, Environment and Manual for Introductory Programming. Educational and Training Technology International 29, 26–34 (1992)Google Scholar
  5. 5.
    P.L. Brusilovsky: Student as user: Towards an adaptive interface for an intelligent learning environment. Paper accepted to AIED'93 World Conference.Google Scholar
  6. 6.
    P.L. Brusilovsky, T.B. Gorskaya-Belova: The Environment for Physical Geography Teaching. Computers and Education 18, 85–88 (1992)Google Scholar
  7. 7.
    P. Brusilovsky, M. Zyryanov: Intelligent learning environment for geography: towards an integration of emerging educational technologies. In: N.Hammond and A.Trapp (eds.): CAL into the Mainstream. CAL 93 Conference Handbook 1993, pp.47–48Google Scholar
  8. 8.
    V.G. Brusilovsky, P.L. Brusilovsky: The student model in a teaching system for mathematical differentiation. Design and application of PC software in the education process. In: Proc. of the 5-th All-Union Workshop. Moscow: 1989, pp. 23–24 (In Russian)Google Scholar
  9. 9.
    A.T. Corbett, J.R. Anderson: Student modeling and mastery learning in a computerbased programming tutor. In: C. Frasson, G. Gauthier, G.I. McCalla (eds.): Intelligent Tutoring Systems. Proceedings of the Second International Conference, ITS'92. Berlin: Springer-Verlag 1992Google Scholar
  10. 10.
    B. de La Passardiere, A. Dufresne: Adaptive navigational tools for educational hypermedia. In: I. Tomek (ed.): Computer Assisted Learning. Proceedings of the 4th International Conference, ICCAL'92. Berlin: Springer-Verlag 1992, pp. 555–567Google Scholar
  11. 11.
    F. De Rosis, N. De Carolis, S. Pizzutilo: User tailored hypermedia explanations. In: INTERCHI'93 Adjunct Proceedings, Amsterdam, 24–29 April, 1993, pp. 169–170Google Scholar
  12. 12.
    I.P. Goldstein: The Genetic graph: a representation for the evolution of procedural knowledge. International Journal on the Man-Machine Studies 11, 51–77 (1979)Google Scholar
  13. 13.
    N. Hammond: Hypermedia and learning: Who guides whom?. In: H. Maurer (ed.): Computer Assisted Learning. Proceedings of the 2-nd International Conference, ICCAL'89. Berlin: Springer-Verlag 1989, pp. 167–181Google Scholar
  14. 14.
    R.J. Hendley, C.D. Whittington, N. Jurascheck: Hypermedia generation from domain representations. Computers and Education 20, 127–132 (1993)Google Scholar
  15. 15.
    M.R. Kibby: Intelligent hypermedia for learning. In: R.M. Bottino, P. Forcheri, M.T. Molfino (eds.): Knowledge Based Environments for Teaching and Learning. Proceedings of the Sixth International PEG Conference. Genova: 1991, pp. 3–12Google Scholar
  16. 16.
    S.P. Lajoie, A. Lesgold: Apprenticeship training in the workplace: computer-coached practice environment as a new form of apprenticeship. Machine Mediated Learning 3, 7–28 (1990)Google Scholar
  17. 17.
    C.L. Paris: Tailoring object description to a user's level of expertise. Computational Linguistics 14, 64–78 (1988)Google Scholar
  18. 18.
    L.A. Pesin, P.L. Brusilovsky: Adaptive task sequencing in ISIS-Tutor. In: Abstracts of East-West Conference on Emerging Computer Technologies in Education, Moscow, 6–9 April 1992, p. 176Google Scholar
  19. 19.
    J. Self: Bypassing the intractable problem of student modelling. In: C. Frasson (Ed.): ITS'88. Proc. of the Intelligent Tutoring Systems conference. Univ. of Montreal. Montreal 1988Google Scholar
  20. 20.
    V.J. Shute, R. Glaser: A large-scale evaluation of an intelligent discovery world: Smithtown. Interactive Learning Environments 1, 51–77 (1990)Google Scholar
  21. 21.
    D.H. Sleeman: UMFE: a user modeling front end system. International Journal on the Man-Machine Studies 23, 71–88 (1985)Google Scholar
  22. 22.
    L.S. Vygotsky: Mind in society. Cambrige: Harvard University Press 1978Google Scholar
  23. 23.
    B.Y. White, J.R. Frederiksen: Causal model progressions as a foundation for intelligent learning environments. Artificial Intelligence 42, 99–157 (1990)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Peter Brusilovsky
    • 1
    • 2
  • Leonid Pesin
    • 1
    • 2
  • Mikhail Zyryanov
    • 1
    • 2
  1. 1.International Centre for Scientific and Technical InformationMoscowRussia
  2. 2.Department of Applied Mathematics and CyberneticsMoscow State UniversityMoscowRussia

Personalised recommendations