Skip to main content

Adaptive Educational Hypermedia Based on Multiple Student Characteristics

  • Conference paper
Advances in Web-Based Learning - ICWL 2003 (ICWL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2783))

Included in the following conference series:

Abstract

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.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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. Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Modeling and User Adapted Interaction 6(2-3), 87–129 (1996)

    Article  Google Scholar 

  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. De Bra, P.: Adaptive Educational Hypermedia on the Web. Communication of the ACM 45(5), 60–61 (2002)

    Google Scholar 

  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)

    Chapter  Google Scholar 

  6. Pascoe, R., Sallis, A.: A Pedagogical Basis for Adaptive WWW Textbooks. In: North American Web Developers Conference (1998)

    Google Scholar 

  7. Brusilovsky, P.: Adaptive Hypermedia. User Modeling and User Adapted Interaction 11, 87–110 (2001)

    Article  MATH  Google Scholar 

  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. 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. 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. 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. 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. 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)

    Chapter  Google Scholar 

  14. Beck, J., Stern, M., Haugsjaa, E.: Applications of AI in Education. ACM Crossroads Student Magazine (1996)

    Google Scholar 

  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. 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. Kules, B.: User Modeling for Adaptive and Adaptable Software Systems (2000), [Available On-line] http://www.otal.umd.edu/UUGuide/wmk/ (Accessed December 17, 2002)

  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 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Surjono, H.D., Maltby, J.R. (2003). Adaptive Educational Hypermedia Based on Multiple Student Characteristics. In: Zhou, W., Nicholson, P., Corbitt, B., Fong, J. (eds) Advances in Web-Based Learning - ICWL 2003. ICWL 2003. Lecture Notes in Computer Science, vol 2783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45200-3_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45200-3_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40772-0

  • Online ISBN: 978-3-540-45200-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics