Learning Style as a Parameter in a Unified e-Learning System Architecture: The Adaptive Diagnosis

  • Authors:

  • Sotirios Botsios;Dimitrios Georgiou

  • Affiliations:

  • Department of Electrical & Computer Engineering, Democritus Univ. of Thrace, Xanthi, Greece GR 671 00;Department of Electrical & Computer Engineering, Democritus Univ. of Thrace, Xanthi, Greece GR 671 00

  • Venue:
  • AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
  • Year:
  • 2008

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Abstract

Adaptation and personalization services in e-learning environments are considered the turning point of recent research efforts, as the "one-size-fits-all" approach has some important drawbacks, from the educational point of view. Adaptive Educational Hypermedia Systems in World Wide Web became a very active research field and the need for standardization arose, as the continually augmenting research efforts lacked the interoperability dimension. To this end, we propose an adaptive hypermedia educational system architecture strongly coupled to existing standards that overcomes the above mentioned weakness. Part of such architecture is the development of diagnostic tools capable to recognize certain learner's characteristics to the purpose of providing learning material tailored to the learner's specific needs in an asynchronous learning environment. This paper describes Learning Style diagnosis which can be approached either by the use of probabilistic expert systems or by the use of fuzzy systems.