IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-6p5971-5977.html
   My bibliography  Save this article

From Human Tutors to AI Chatbots: Exploring the Role of ChatGPT in Personalized Learning

Author

Listed:
  • Navaratnam Vejaratnam

    (Department of Business Management, FAME, New Era University College)

  • Heng Han Kok

    (Department of Finance and Accounting, FAME, New Era University College)

  • Hafatin Natrah binti Mohd Noh@Safah

    (Department of Business Management, FAME, New Era University College)

  • Izwan Harith bin Md Ithnan

    (Faculty of Leadership and Management, USIM)

  • Theepa Paramasivam

    (Department of Finance and Accounting, FAME, New Era University College)

Abstract

Artificial intelligence (AI) has opened new paths for personalized education, and AI chatbots are beginning to play a meaningful role in academic life. OpenAI’s generative language model ChatGPT provides an alternative to human-like tutoring known as interactive, adaptive dialogue (chatbot). It has the special feature of being multilingual and providing simple information drawn from complex text. ChatGPT can consistently and accessibly, without cultural distortion, offer academic support to learners from a foreign environment, helping them understand what they are studying and giving them confidence in that material. The article concludes with an explanation of how the chatbot can be used and the key challenges in implementing the chatbot for both educators and students. The paper thus adds to the growing literature on AI in education and makes practical suggestions to institutions hoping to make intelligent digital solutions a seamless part of academic life.

Suggested Citation

  • Navaratnam Vejaratnam & Heng Han Kok & Hafatin Natrah binti Mohd Noh@Safah & Izwan Harith bin Md Ithnan & Theepa Paramasivam, 2025. "From Human Tutors to AI Chatbots: Exploring the Role of ChatGPT in Personalized Learning," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(6), pages 5971-5977, June.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-6:p:5971-5977
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-6/5971-5977.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/from-human-tutors-to-ai-chatbots-exploring-the-role-of-chatgpt-in-personalized-learning/
    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:bcp:journl:v:9:y:2025:issue-6:p:5971-5977. 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://rsisinternational.org/journals/ijriss/ .

    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.