Adaptive Educational Hypermedia Based on Multiple Student Characteristics

  • Herman D. Surjono
  • John R. Maltby
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2783)


The learning process in Adaptive Educational Hypermedia (AEH) environments is complex and may be influenced by aspects of the student, including prior knowledge, learning styles, experience and preferences. Current AEH environments, however, are limited to processing only a small number of student characteristics. This paper discusses the development of an AEH system which includes a student model that can simultaneously take into account multiple student characteristics. The student model will be developed to use stereotypes, overlays and perturbation techniques.


Adaptive educational hypermedia multiple characteristics student model 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kahn, B.H.: Web-Based Instruction (WBI): What is it and why is it? In: Kahn, B.H. (ed.) Web-Based instruction, pp. 5–18. Educational Technology Publications, Englewood Cliffs (1997)Google Scholar
  2. 2.
    Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Modeling and User Adapted Interaction 6(2-3), 87–129 (1996)CrossRefGoogle Scholar
  3. 3.
    Carro, M.R.: Adaptive Hypermedia in Education: New Considerations and Trends. In: The 6th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida (2002)Google Scholar
  4. 4.
    De Bra, P.: Adaptive Educational Hypermedia on the Web. Communication of the ACM 45(5), 60–61 (2002)Google Scholar
  5. 5.
    Calvi, L., Cristea, A.: Towards Generic Adaptive Systems: Analysis of a Case Study. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 79–89. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  6. 6.
    Pascoe, R., Sallis, A.: A Pedagogical Basis for Adaptive WWW Textbooks. In: North American Web Developers Conference (1998)Google Scholar
  7. 7.
    Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User Adapted Interaction 11, 87–110 (2001)zbMATHCrossRefGoogle Scholar
  8. 8.
    Carver, C.A.J., Hill, J.M.D., Pooch, U.W.: Third Generation Adaptive Hypermedia Systems. In: World Conference on the WWW and Internet (WebNet 1999), Honolulu, Hawaii (1999)Google Scholar
  9. 9.
    Triantafillou, E., Pomportsis, A., Georgiadou, E.: AES-CS: Adaptive Educational System based on Cognitive Styles. In: The Workshop on Adaptive System for Web-based Education, held in conjunction with AH 2002, Malaga, Spain (2002)Google Scholar
  10. 10.
    Papanikolaou, K.A., et al.: INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment. In: Third Workshop on Adaptive Hypertext and Hypermedia. Springer, Heidelberg (2001)Google Scholar
  11. 11.
    Lippitsch, S., Weibelzahl, S., Weber, G.: Adaptive Learning Courses in Pedagogical Psychology The PSI Project and the authoring system NetCoach. Künstliche Intelligenz 3(02) (2002)Google Scholar
  12. 12.
    De Bra, P., Calvi, L.: AHA: a Generic Adaptive Hypermedia System. In: The 2nd Workshop on Adaptive Hypertext and Hypermedia HYPERTEXT 1998, Pittsburgh, USA (1998)Google Scholar
  13. 13.
    Kay, J.: Stereotypes, Student Models and Scrutability. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 19–30. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  14. 14.
    Beck, J., Stern, M., Haugsjaa, E.: Applications of AI in Education. ACM Crossroads Student Magazine (1996)Google Scholar
  15. 15.
    Mayo, M.J.: Bayesian Student Modelling and Decision-Theoretic Selection of Tutorial Actions in Intelligent Tutoring Systems. In: Computer Science. University of Canterbury (2001)Google Scholar
  16. 16.
    Cannataro, M., Cuzzocrea, A., Pugliese, A.: A Probabilistic Approach to Model Adaptive Hypermedia Systems. In: 1st International Workshop on Web Dynamics (in Conjunction with the 8th International Conference on Database Theory), London, UK (2001)Google Scholar
  17. 17.
    Kules, B.: User Modeling for Adaptive and Adaptable Software Systems (2000), [Available On-line] (Accessed December 17, 2002)
  18. 18.
    Grasha, A.F.: Teaching with styles: A practical guide to enhancing learning by understanding teaching and learning styles. Alliance Publishers, Pittsburgh (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Herman D. Surjono
    • 1
  • John R. Maltby
    • 1
  1. 1.School of Multimedia & Information TechnologySouthern Cross UniversityLismoreAustralia

Personalised recommendations