The Value of QoE-Based Adaptation Approach in Educational Hypermedia: Empirical Evaluation

  • Cristina Hava Muntean
  • Jennifer McManis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)


This paper reports the results of a comparison-based empirical study on the applicability of the end-user Quality of Experience-based content adaptation mechanism in adaptive educational hypermedia. The focus of the paper will be the experiment itself: the initial settings, testing scenarios and the results. We will show that for low bit rate connections the QoE-based adaptation decreases study session time, information processing time per page and the number of re-visits to a page, it maintains similar learning outcomes while also improving the user quality of experience and satisfaction with the system. Finally we will comment on the results and interpret them.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Smyth, B., Cotter, P.: Personalized Adaptive Navigation for Mobile Portals. In: 15th European Conference on Artificial Intelligence, Lyons, France (2002)Google Scholar
  2. 2.
    Cheverst, K., Mitchell, K., Davies, N.: The Role of Adaptive Hypermedia in a Context-Aware Tourist Guide. Communications of the ACM 45(5), 47–51 (2002)CrossRefGoogle Scholar
  3. 3.
    Merida, M., Fabregat, R., Matzo, J.L.: SHAAD: Adaptable, Adaptive and Dynamic Hypermedia System for Content Delivery. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347. Springer, Heidelberg (2002)Google Scholar
  4. 4.
    Muntean, C.H., McManis, J.: Fine Grained Content-based Adaptation Mechanism for Providing High End-user Quality of Experience with Adaptive Hypermedia Systems. In: 15th Int. World Wide Web Conf. Hypermedia and Multimedia Track, Scotland (2006)Google Scholar
  5. 5.
    AHA! Project,
  6. 6.
    De Bra, P., Houben, G., Wu, H.: AHAM: A Dexter-based Reference Model for Adaptive Hypermedia. In: ACM HYPERTEXT 1998 Conference, Germany, pp. 147–156 (1999)Google Scholar
  7. 7.
    Muntean, H.C., McManis, J.: End-User Quality of Experience Layer for Adaptive Hypermedia Systems. In: 3rd Int. Conf. on Adaptive Hypermedia and Web-based Systems, Workshop on Individual Differences in Adaptive Hypermedia, Eindhoven, The Netherlands (2004)Google Scholar
  8. 8.
    Muntean, C.H., McManis, J.: A QoS-aware Adaptive Web-based System. In: IEEE International Conference on Communications (ICC 2004), France (2004)Google Scholar
  9. 9.
  10. 10.
    Muntean, C.H., McManis, J.: Adaptive E-learning Systems: Evaluation Issues. Transactions on Automatic Control and Computer Science Journal 49(63), 193–198 (2004)Google Scholar
  11. 11.
    Weber, G., Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web based Instruction. Artificial Intelligence in Education, Special Issue on Adaptive and Intelligent Web-based Educational Systems 12(4), 351–384 (2001)Google Scholar
  12. 12.
    Ng, M.H., Hall, W., Maier, P., Armstrong, R.: The Application and Evaluation of Adaptive Hypermedia Techniques in Web-Based Medical Education. Association for Learning Technology Journal 10(3), 19–40 (2002)CrossRefGoogle Scholar
  13. 13.
    Sevcik, P.J.: Understanding How Users View Application Performance. Business Communications Review 32(7), 8–9 (2002)Google Scholar
  14. 14.
    Muntean, H.C., McManis, J.: QoSAHA: A Performance Oriented Learning System. In: AACE ED-MEDIA 2004, Lugano, Switzerland (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Cristina Hava Muntean
    • 1
  • Jennifer McManis
    • 1
  1. 1.Performance Engineering Laboratory, School of Electronic EngineeringDublin City UniversityDublin 9Ireland

Personalised recommendations