IDEAS home Printed from https://ideas.repec.org/a/jfr/ijhe11/v11y2022i4p80.html
   My bibliography  Save this article

Artificial Intelligence in Education as a Mean to Achieve Sustainable Development in Accordance with the Pillars of the Kingdom’s Vision 2030—A Systematic Review

Author

Listed:
  • Azza Abdullah AlGhamdi

Abstract

In this study, we aimed to review scientific studies and research to present a view of artificial intelligence in education to achieve sustainable development in accordance with the foundations of the Kingdom’s Vision 2030. We conducted a systematic review of previous literature by extrapolating and analyzing 17 previous studies published from 2018 to 2020. We found that the application of artificial intelligence has proven effective in improving and developing education, simplifying basic teaching tasks, assisting managers of educational institutions, and contributing to solving problems and challenges faced by the education sector.

Suggested Citation

  • Azza Abdullah AlGhamdi, 2022. "Artificial Intelligence in Education as a Mean to Achieve Sustainable Development in Accordance with the Pillars of the Kingdom’s Vision 2030—A Systematic Review," International Journal of Higher Education, Sciedu Press, vol. 11(4), pages 1-80, August.
    • Handle: RePEc:jfr:ijhe11:v:11:y:2022:i:4:p:80
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/download/21281/13599
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/ijhe/article/view/21281
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:jfr:ijhe11:v:11:y:2022:i:4:p:80. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.