Learning Styles Adaptation Language for Adaptive Hypermedia

  • Natalia Stash
  • Alexandra Cristea
  • Paul De Bra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4018)


Typically, the behavior of adaptive systems is specified by a set of rules that are hidden somewhere in the system’s implementation. These rules deal with instances of the domain model. Our purpose is to specify the adaptive response of the system at a higher level (to be applied and reused for different domains or adaptive applications) in an explicit form, called adaptation language. For this purpose we have chosen learning styles (LS) as an implementation field. We defined an XML-based adaptation language LAG-XLS for the AHA! system. In this paper we focus on the empirical evaluation of LAG-XLS.


Authoring Tool High Level Concept Computer Science Student Adaptive Application Experimental Quantitative Result 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Natalia Stash
    • 1
  • Alexandra Cristea
    • 1
  • Paul De Bra
    • 1
  1. 1.Faculty of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands

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