IDEAS home Printed from https://ideas.repec.org/a/aid/journl/v6y2023i3p7-19.html
   My bibliography  Save this article

Artificial Intelligence for Education and Research: Pilot Study on Perception of Academic Staff

Author

Listed:
  • Jelena Titko

    (EKA University of Applied Sciences, Str. Pernavas 62, Riga, LV-1009, Latvia)

  • Kaspars Steinbergs

    (EKA University of Applied Sciences, Str. Pernavas 62, Riga, LV-1009, Latvia)

  • Mourine Achieng

    (University of South Africa Graduate School of Business Leadership, Cnr Janadel and, Alexandra Ave, Midrand, 1686, South Africa)

  • Kristine Uzule

    (EKA University of Applied Sciences, Str. Pernavas 62, Riga, LV-1009, Latvia)

Abstract

Artificial Intelligence (AI) tools have been used across various sectors of the global economy. The use of AI has been associated with both benefits and drawbacks, which is why the goal of this research was to identify the attitudes of academic staff of higher education institutions (HEIs) towards using AI for both academic and research purposes. To attain the goal, there was designed a questionnaire, which was distributed to members of academic staff of different biological genders and ages from 10 European countries. Irrespective of biological gender, age, or country, responses were similar. First, academic staff emphasized the importance of having AI-related regulations at HEIs. Second, academic staff were positive about using AI for information searchers and preparation of teaching materials. Third, academic staff were concerned about AI-related plagiarism issues, which is why they were reluctant to approve the AI use for research and thesis writing. Fourth, slightly more than 40% of the respondents indicated the use of AI. This points to the lack of AI skills among academic staff, which was further supported by a set of basic purposes for which AI was claimed to have been used. One implication of this research relates to the organization of the study process. Managers of HEIs should introduce institutionalized training in AI for academic and research purposes for academic staff to promote digital equality. Another implication of the study relates to the areas of AI training for academic staff. It should cover the topics of AI for the design of teaching materials, formative and summative assessment, and plagiarism check.

Suggested Citation

  • Jelena Titko & Kaspars Steinbergs & Mourine Achieng & Kristine Uzule, 2023. "Artificial Intelligence for Education and Research: Pilot Study on Perception of Academic Staff," Virtual Economics, The London Academy of Science and Business, vol. 6(3), pages 7-19, September.
    • Handle: RePEc:aid:journl:v:6:y:2023:i:3:p:7-19
    DOI: 10.34021/ve.2023.06.03(1)
    as

    Download full text from publisher

    File URL: https://virtual-economics.eu/index.php/VE/article/view/300/137
    Download Restriction: no
    File URL: https://libkey.io/10.34021/ve.2023.06.03(1)?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
    ---><---

    Citations

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


    Cited by:

    1. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko & Denys Pudryk, 2024. "Global Image of Countries and Immigration Flows," Central European Business Review, Prague University of Economics and Business, vol. 2024(4), pages 83-101.

    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:aid:journl:v:6:y:2023:i:3:p:7-19. 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: Aleksy Kwilinski (email available below). General contact details of provider: https://edirc.repec.org/data/akwilin.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.