IDEAS home Printed from https://ideas.repec.org/a/bjb/journl/v13y2024i7p190-196.html
   My bibliography  Save this article

Chat Generative Pre-Trained Transformer (ChatGPT): Boon or Bane – A Qualitative Meta-Synthesis

Author

Listed:
  • Ella Rose C. Palomar

    (College of Business and Information Technology, St. Paul University Iloilo)

  • Elaine B. Sobrevega, MMBM, LPT

    (College of Business and Information Technology, St. Paul University Iloilo)

Abstract

Interest in Artificial Intelligence (AI) has increased dramatically since the launch of ChatGPT (Generative Pre-trained Transformer) in November 2022. While ChatGPT has captured the imagination of students and educators alike, several concerns have also emerged (Torrey et al., 2023). In this study, the researcher conducted a qualitative meta-synthesis that focused mainly to the range of ChatGPT by obtaining interrelated data from peer-reviewed publication or journals searched through the academic databases and meta-search engines (Google Scholar, JSTOR, EBSCO, and OVID). With the initial samples of 21 ChatGPT studies, ten (10) were selected based on the inclusion criteria. Conceptual translation was used to express the research findings. The data from each theme were synthesized and integrated to create a synthesis that represented the category as a whole. ChatGPT is here to stay, and individuals would undoubtedly use it for the rest of their lives. Integrating ChatGPT in a variety of settings, including education, particularly in business courses, offers numerous opportunities to improve learning experiences, personalize instruction, and rethink educators' roles. This change, however, poses restrictions classified as intrinsic and usage-related issues that make assessments, digital literacy, and ethical considerations challenging. To realize ChatGPT's full potential in education and overcome these barriers, stakeholders should develop solutions for ethical and equitable adoption in a naturally based and proactive approach.

Suggested Citation

  • Ella Rose C. Palomar & Elaine B. Sobrevega, MMBM, LPT, 2024. "Chat Generative Pre-Trained Transformer (ChatGPT): Boon or Bane – A Qualitative Meta-Synthesis," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 13(7), pages 190-196, July.
  • Handle: RePEc:bjb:journl:v:13:y:2024:i:7:p:190-196
    as

    Download full text from publisher

    File URL: https://www.ijltemas.in/DigitalLibrary/Vol.13Issue7/190-196.pdf
    Download Restriction: no

    File URL: https://www.ijltemas.in/papers/volume-13-issue-7/190-196.html
    Download Restriction: no
    ---><---

    More about this item

    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:bjb:journl:v:13:y:2024:i:7:p:190-196. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://www.ijltemas.in/ .

    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.