Adaptation languages as vehicles of explicit intelligence in adaptive hypermedia

N. Stash, A.I. Cristea, P.M.E. De Bra

    Research output: Contribution to journalArticleAcademicpeer-review

    18 Citations (Scopus)


    This paper deals with a new challenge in Adaptive Hypermedia (AH) and web-based systems: finding the adaptation language to express, independently from the domain model or platform, the intelligent, adaptive behaviour of personalised web courseware. The major requirements for the ideal language are: reuse, flexibility, high level semantics, and ease of use. To draw closer to this ideal language, we compare two such language proposals: LAG, a generic adaptation language, and a new XML adaptation language for Learning Styles (LS) in AHA!, LAG-XLS.
    Original languageEnglish
    Pages (from-to)319-336
    JournalInternational Journal of Continuing Engineering Education and Lifelong Learning
    Issue number4-5
    Publication statusPublished - 2007


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