ALEF: A Framework for Adaptive Web-Based Learning 2.0

  • Marián Šimko
  • Michal Barla
  • Mária Bieliková
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 324)

Abstract

State-of-the-art learning management systems provide their stake-holders with many features coming from Web 2.0 paradigm, but often ignore the need for personalization and adaptation during the learning. More, learning activities are often fragmented – a student needs to make a decision whether he or she wants to take questions or read explanatory materials. In addition, majority of current solutions do not provide a truly interactive environment, where students are allowed to participate in content creation and maintenance. In this paper, we address these issues by proposing and developing a framework for Adaptive Web-based Learning 2.0. We describe basic requirements for such a framework and provide an overview of all its important underlying models and functionality.

Keywords

Adaptive web-based learning framework social learning collaboration personalization 2.0 

References

  1. 1.
    Brusilovsky, P.: KnowledgeTree: A Distributed Architecture for Adaptive E-Learning. In: Proc. of the 13th Int. World Wide Web Conf., WWW 2004, pp. 104–113. ACM Press, New York (2004)Google Scholar
  2. 2.
    Meccawy, M., et al.: WHURLE 2.0: Adaptive Learning Meets Web 2.0. In: Dillenbourg, P., Specht, M. (eds.) EC-TEL 2008. LNCS, vol. 5192, pp. 274–279. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  3. 3.
    De Bra, P., et al.: Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! Case Study. SCI, vol. 62, pp. 285–308. Springer, Heidelberg (2007)Google Scholar
  4. 4.
    Cristea, A.I., De Mooij, A.: LAOS: Layered WWW AHS Authoring Model and their corresponding Algebraic Operators. In: Proc. of the 12th Int. World Wide Web Conf., WWW 2003, Budapest, Hungary. ACM, New York (2003)Google Scholar
  5. 5.
    Sosnovsky, S., Brusilovsky, P., Yudelson, M.: Supporting Adaptive Hypermedia Authors with Automated Content Indexing. In: 2nd Int. Workshop on Authoring of Adaptive and Adaptable Educational Hypermedia at AH 2004, pp. 23–26 (2004)Google Scholar
  6. 6.
    Cristea, A.I., De Mooij, A.: Designer Adaptation in Adaptive Hypermedia Authoring. In: Proc. of the Int. Conf. on Information Technology: Computers and Communications ITCC 2003, pp. 444–448. IEEE CS, Los Alamitos (2003)CrossRefGoogle Scholar
  7. 7.
    Brusilovsky, P., Millán, E.: User Models for Adaptive Hypermedia and Adaptive Educational Systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 3–53. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  8. 8.
    Šimko, M., Bieliková, M.: Automated Educational Course Metadata Generation Based on Semantics Discovery. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 99–105. Springer, Heidelberg (2009)Google Scholar
  9. 9.
    Yudelson, M., et al.: A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 27–36. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Vozár, O., Bieliková, M.: Adaptive Test Question Selection for Web-based Educational System. In: Proc. of SMAP 2008, 3rd Int. Workshop on Semantic Media Adaptation and Personalization, Prague, Czech Republic, pp. 164–169. CS IEEE Press, Los Alamitos (2008)CrossRefGoogle Scholar

Copyright information

© IFIP 2010

Authors and Affiliations

  • Marián Šimko
    • 1
  • Michal Barla
    • 1
  • Mária Bieliková
    • 1
  1. 1.Institute of Informatics and Software Engineering, Faculty of Informatics and Information TechnologiesSlovak University of TechnologyBratislavaSlovakia

Personalised recommendations