An Empirical Evaluation of Learning Style and Knowledge Level Adaptation

M. Alshammari, Rachid Anane, R. J. Hendley

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

    Abstract

    This paper presents an initial evaluation of different forms of adaptation based on learning style and knowledge level, which were implemented in an adaptive e-learning system. An experiment conducted in a learning context with 174 participants produced significant results in terms of learning gain. They indicate that adaptation based on both learning style and knowledge level yields significantly better learning gain than adaptation based on learning style only, and better than adaptation based on knowledge level only.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science: Intelligent Tutoring Systems
    EditorsAlessandro Micarelli, John Stamper, Kitty Panourgia
    Place of PublicationSwitzerland
    PublisherSpringer Verlag
    Pages498-499
    Volume9684
    ISBN (Print)978-3-319-39583-8, 978-3-319-39582-1
    DOIs
    Publication statusPublished - 2016
    EventIntelligent Tutoring Systems International Conference - Zagreb, Croatia
    Duration: 7 Jun 201610 Jun 2016

    Conference

    ConferenceIntelligent Tutoring Systems International Conference
    Country/TerritoryCroatia
    CityZagreb
    Period7/06/1610/06/16

    Bibliographical note

    The full text is not available on the repository.

    Keywords

    • Adaptivity
    • Learning style
    • Learner knowledge
    • Evaluation

    Fingerprint

    Dive into the research topics of 'An Empirical Evaluation of Learning Style and Knowledge Level Adaptation'. Together they form a unique fingerprint.

    Cite this