IDEAS home Printed from https://ideas.repec.org/a/bjf/journl/v10y2025i10p1-5.html
   My bibliography  Save this article

Exploring the Role of AI in Enhancing Personalized Learning among College Students

Author

Listed:
  • Dr. R Pradeep Kumar Patnaik

    (Assistant Professor, Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh)

  • Suvidhi Baid

    (Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh)

  • Attota Leela Venkata Naga Sailaja

    (Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh)

  • Yalakala Gnana Purna Chandar

    (Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh)

  • Peddisetty Ramya Sai

    (Department of BBA, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Green fields, Guntur, Andhra Pradesh)

Abstract

This study looks at how Artificial Intelligence (AI) improves personalized learning for college students. It used a mixed-method approach with 300 students from three colleges. The findings show that students using AI performed better academically, with a mean GPA of 7.6 compared to 6.8 for those in traditional classes. AI personalization, engagement, and motivation accounted for 42% of the performance improvement. Qualitative insights revealed benefits like self-paced learning, better feedback, and increased confidence. However, there were also concerns about over-reliance and data privacy. The research concludes that AI significantly enhances learning outcomes and motivation, but it needs ethical oversight and faculty training for successful integration.

Suggested Citation

  • Dr. R Pradeep Kumar Patnaik & Suvidhi Baid & Attota Leela Venkata Naga Sailaja & Yalakala Gnana Purna Chandar & Peddisetty Ramya Sai, 2025. "Exploring the Role of AI in Enhancing Personalized Learning among College Students," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(10), pages 1-5, October.
    • Handle: RePEc:bjf:journl:v:10:y:2025:i:10:p:1-5
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrias/uploads/vol10-iss10-pg1-5-202510_pdf.pdf
    Download Restriction: no
    File URL: https://www.rsisinternational.org/journals/ijrias/articles/exploring-the-role-of-ai-in-enhancing-personalized-learning-among-college-students/
    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:bjf:journl:v:10:y:2025:i:10:p:1-5. 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. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrias/ .

    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.