IDEAS home Printed from https://ideas.repec.org/a/mig/bcwpap/v12y2022i1p1-15.html
   My bibliography  Save this article

Artificial Intelligence in Higher Education: Challenges and Opportunities

Author

Listed:
  • Susan Nwadinachi Akinwalere

    (Oxford Business College, UK)

  • Ventsislav Ivanov

    (Oxford Business College, UK)

Abstract

According to various international reports, Artificial Intelligence in Education (AIEd) is one of the emerging fields in education technology. Whilst it has been around for about thirty years, educators remain unclear as to how to take full pedagogical advantage of AI on a broader scale and how it could have a meaningful impact on teaching and learning in higher education. This paper aims to evaluate Artificial Intelligence within Higher Education, focussing on the opportunities and challenges it presents. It also investigates the educational implications of emerging technologies on the way students learn and how institutions teach and evolve. The paper gathers some examples of the introduction of AI in education in a bid to establish equitable, quality education for all. Firstly, the paper analyses how AI can be used to improve learning outcomes, presenting examples of how AI technology can help education systems use data to improve equity and quality in Higher Education. Thepaper also addresses the benefits and challenges of introducing AI in educational settings and the potential risks of such an endeavour. Finally, we put forward some recommendations for AI in education, with a focus on establishing discussions around the uses, possibilities and risks of AI in education for sustainable development.

Suggested Citation

  • Susan Nwadinachi Akinwalere & Ventsislav Ivanov, 2022. "Artificial Intelligence in Higher Education: Challenges and Opportunities," Border Crossing, Transnational Press London, UK, vol. 12(1), pages 1-15, January -.
    • Handle: RePEc:mig:bcwpap:v:12:y:2022:i:1:p:1-15
    DOI: https://doi.org/10.33182/bc.v12i1.2015
    as

    Download full text from publisher

    File URL: https://bordercrossing.uk/bc/article/view/2015/1504
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.33182/bc.v12i1.2015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Artificial Intelligence; Higher Education;

    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:mig:bcwpap:v:12:y:2022:i:1:p:1-15. 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: TPLondon (email available below). General contact details of provider: https://www.tplondon.com/ .

    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.