Looking under the bonnet: factors affecting student adoption of e-learning systems in Jordan

M.M. Abbad, David Morris, Carmel De Nahlik

    Research output: Contribution to journalArticlepeer-review

    168 Citations (Scopus)
    89 Downloads (Pure)

    Abstract

    The primary questions addressed in this paper are the following: what are the factors that affect
    students‟ adoption of an e-learning system and what are the relationships among these factors?
    This paper investigates and identifies some of the major factors affecting students‟ adoption of an
    e-learning system in a university in Jordan. E-learning adoption is approached from the
    information systems acceptance point of view. This suggests that a prior condition for learning
    effectively using e-learning systems is that students must actually use them. Thus, a greater
    knowledge of the factors that affect IT adoption and their interrelationships is a pre-cursor to a
    better understanding of student acceptance of e-learning systems. In turn, this will help and guide
    those who develop, implement, and deliver e-learning systems.
    In this study, an extended version of the Technology Acceptance Model (TAM) was developed to
    investigate the underlying factors that influence students‟ decisions to use an e-learning system.
    The TAM was populated using data gathered from a survey of 486 undergraduate students, who
    were using the Moodle based e-learning system at the Arab Open University. The model was
    estimated using Structural Equation Modelling (SEM). A path model was developed to analyze
    the relationships between the factors to explain students‟ adoption of the e-learning system.
    Whilst findings support existing literature about prior experience affecting perceptions, they also
    point to surprising group effects, which may merit future exploration.
    Original languageEnglish
    Pages (from-to)1-25
    JournalInternational Review of Research into Open and Distance Learning
    Volume10
    Issue number2
    DOIs
    Publication statusPublished - 2009

    Keywords

    • e-learning
    • technology acceptance model
    • structural equation modelling
    • system adoption Middle East

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