Multi-model, Metadata Driven Approach to Adaptive Hypermedia Services for Personalized eLearning

  • Owen Conlan
  • Vincent Wade
  • Catherine Bruen
  • Mark Gargan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2347)


One of the major obstacles in developing quality eLearning content is the substantial development costs involved and development time required [12]. Educational providers, such as those in the university sector and corporate learning, are under increasing pressure to enhance the pedagogical quality and technical richness of their course offerings while at the same time achieving improved return on investment. One means of enhancing the educational impact of eLearning courses, while still optimizing the return on investment, is to facilitate the personalization and repurposing of learning objects across multiple related courses. However, eLearning courses typically differ strongly in ethos, learning goals and pedagogical approach whilst learners, even within the same course, may have different personal learning goals, motivations, prior knowledge and learning style preferences. This paper proposes an innovative multi-model approach to the dynamic composition and delivery of personalized learning utilizing reusable learning objects. The paper describes an adaptive metadata driven engine that composes, at runtime, tailored educational experiences across a single content base. This paper presents the theoretical models, design and implementation of the adaptive hypermedia educational service. This service is currently being successfully used for the delivery of undergraduate degree courses in Trinity College, Dublin as well as being used as part of a major EU research trial.


Learning Object Instructional Designer Learner Model Content Model Intelligent Tutor System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    “ADL Sharable Content Object Reference Model”, Version 1.2,
  2. 2.
    “AICC CMI Guidelines for Interoperability”, Revision 3.0.1, Release 24 November 1999.Google Scholar
  3. 3.
    Brusilovsky, P.: Methods and techniques of adaptive hypermedia. In P. Brusilovsky and J. Vassileva (eds.), Spec. Iss. on Adaptive Hypertext and Hypermedia, User Modeling and User-Adapted Interaction 6(2–3), 87–129.Google Scholar
  4. 4.
    P. Brusilovsky. Adaptive educational systems on the world-wideweb: A review of available technologies. In Proceedings of Workshop “WWW-Based Tutoring” at 4th International Conference on Intelligent Tutoring Systems (ITS’98), San Antonio, TX, 1998.Google Scholar
  5. 5.
    Conlan, O., Hockemeyer, C., Lefrere, P., Wade, V., & Albert, D. (2001). Extending educational metadata schemas to describe adaptive learning resources. In Hugh In Proceedings of the twelfth ACM Conference on Hypertext and Hypermedia (Hypertext 2001), pp. 161–162, New York: Association of Computing Machinery (ACM), 2001.CrossRefGoogle Scholar
  6. 6.
    Educators Access to Services in the Electronic Landscape (EASEL). EC IST project 10051,
  7. 7.
    Fretwell-Downing Education,
  8. 8.
    Honey, P. & Mumford, A.: The Manual of Learning Styles, 3rd Edition, 1992, ISBN 0 9508444 7 0.Google Scholar
  9. 9.
    IMS Learning Resource Metadata, Version 1.2,
  10. 10.
    Java Expert System Shell, Version 6.0,
  11. 11.
    JavaServer Pages Technology, Sun Microsystems,
  12. 12.
    Marchionini, G.: The costs of educational technology: A framework for assessing change. In H. Maurer (Ed.), Proceedings of Ed-Media 95, World conference of educational multimedia and hypermedia, Graz, Austria.Google Scholar
  13. 13.
    Stauffer, K.: “Student Modelling & Web-Based Learning Systems”, 1996.Google Scholar
  14. 14.
    Jakarta Tomcat, The Apache Software Foundation,
  15. 15.
    Fleming, N.D. (1995), I’m different; not dumb. Modes of presentation (VARK) in the tertiary classroom, in Zelmer, A., (Ed.) Research and Development in Higher Education, Proceedings of the 1995 Annual Conference of the Higher Education and Research Development Society of Australasia (HERDSA), HERDSA, Volume 18, pp. 308–313.Google Scholar
  16. 16.
    Extensible Markup Language, XML,
  17. 17.
    Extensible Stylesheet Language, XSL,

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Owen Conlan
    • 1
  • Vincent Wade
    • 1
    • 2
  • Catherine Bruen
    • 2
  • Mark Gargan
    • 1
  1. 1.Knowledge and Data Engineering GroupTrinity CollegeDublin
  2. 2.Centre for Learning TechnologyTrinity CollegeDublin

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