Adaptivity in E-learning systems

M. Alshammari, Rachid Anane, Robert J. Hendley

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    39 Citations (Scopus)
    243 Downloads (Pure)


    Traditional e-learning systems have been, typically, designed for a generic learner, irrespective of individual knowledge, skills and learning styles. In contrast, adaptive e-learning systems can enhance learning by taking into account different learner characteristics and by personalising learning material. Although a large number of systems incorporating learning style have been deployed, there is a lack of comprehensive, comparative evaluations. This paper attempts to bridge this gap by comparing a number of adaptive e-learning systems. It considers three main perspectives: the learner model, the domain model and the adaptation model. A set of criteria is generated for each perspective, and applied to a representative sample of adaptive e-learning systems.
    Original languageEnglish
    Title of host publicationProceedings - 2014 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014
    PagesArticle number 6915500, Pages 79-86
    ISBN (Print)978-147994325-8
    Publication statusPublished - Oct 2014

    Bibliographical note

    The paper was given at the 8th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2014; Birmingham City University, Birmingham; United Kingdom; 2 July 2014 through 4 July 2014
    “© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE
    must be obtained for all other uses, in any current or future media, including
    reprinting/republishing this material for advertising or promotional purposes,
    creating new collective works, for resale or redistribution to servers or lists, or
    reuse of any copyrighted component of this work in other works.”


    • adaptation model
    • adaptive e-learning systems
    • domain model
    • learner model
    • learning style
    • learning technologies


    Dive into the research topics of 'Adaptivity in E-learning systems'. Together they form a unique fingerprint.

    Cite this