IDEAS home Printed from https://ideas.repec.org/a/aoj/jeelre/v9y2022i3p155-165id4111.html
   My bibliography  Save this article

Antecedents of E-Learning Readiness and Student Satisfaction in Institutions of Higher Education during the COVID-19 Pandemic

Author

Listed:
  • Eveline Siregar

Abstract

The low levels of readiness for e-learning, followed by the low satisfaction levels experienced by university students during the COVID-19 pandemic, is a crucial yet confounding issue. Many reports relate the lack of technological competence and motivation to this problem. This study examined aspects of technological competence and motivation as antecedent factors that affect student user and e-learning readiness. In addition, the study also tested the determination of the role of e-learning readiness as a mediator of the indirect influence of technological competence and motivation on student satisfaction. The study involved 1228 university students from the province of Yogyakarta, Indonesia. Data collection was assisted by using a closed questionnaire with a five-point Likert scale tested for validity and reliability. Structural Equation Modeling was used to analyze the data through path analysis and bootstrap methods. This study showed that technological competence and motivation significantly affected e-learning readiness and user satisfaction. Furthermore, e-learning readiness was seen to act as a significant mediator in the indirect effect of technological competence and motivation on student satisfaction. Therefore, these results strengthen the theory that shaping student satisfaction in e-learning requires mature e-learning readiness. In forming this readiness, technological competence and balanced motivation are needed.

Suggested Citation

  • Eveline Siregar, 2022. "Antecedents of E-Learning Readiness and Student Satisfaction in Institutions of Higher Education during the COVID-19 Pandemic," Journal of Education and e-Learning Research, Asian Online Journal Publishing Group, vol. 9(3), pages 155-165.
  • Handle: RePEc:aoj:jeelre:v:9:y:2022:i:3:p:155-165:id:4111
    as

    Download full text from publisher

    File URL: https://www.asianonlinejournals.com/index.php/JEELR/article/view/4111/2426
    Download Restriction: no

    File URL: https://www.asianonlinejournals.com/index.php/JEELR/article/view/4111/2812
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammed Rafiqul Islam & Rimon Sarker & Rebaka Sultana & Md. Faisal-E-Alam & Rui Alexandre Castanho & Daniel Meyer, 2023. "Understanding the COVID-19 Pandemic’s Impact on E-Learner Satisfaction at the Tertiary Level," Sustainability, MDPI, vol. 15(8), pages 1-14, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aoj:jeelre:v:9:y:2022:i:3:p:155-165:id:4111. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sara Lim (email available below). General contact details of provider: http://asianonlinejournals.com/index.php/JEELR/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.