IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-04168-x.html
   My bibliography  Save this article

Exploring the impact of artificial intelligence application in personalized learning environments: thematic analysis of undergraduates’ perceptions in China

Author

Listed:
  • Xibing Wang

    (School of Information Engineering
    Stamford International University (Thailand))

  • Xiaoshu Xu

    (Wenzhou University)

  • Yunfeng Zhang

    (Macau Polytechnic University)

  • Shanshan Hao

    (Faculty of Applied Sciences, Macau Polytechnic University)

  • Weng Jie

    (Wenzhou University)

Abstract

The burgeoning integration of Artificial Intelligence (AI) technology within educational settings, particularly in personalized learning environments, has garnered significant interest. This paper delves into the perceptions and experiences of undergraduate students in Chinese universities concerning AI’s application in personalized learning. The study surveyed 48 undergraduates from a comprehensive Chinese university who had utilized generative AI, gathering their insights through semi-structured interviews. Thematic analysis was employed to organize and interpret the data. The findings underscore the positive impact of generative AI on students’ motivation and cognitive skills, alongside concerns regarding potential over-reliance leading to a decline in independent thinking. Student apprehensions include AI accuracy, data privacy, and algorithmic biases. The study advocates for a student-centric approach in AI research, stressing interdisciplinary collaboration to foster AI’s educational application. Additionally, it emphasizes the necessity of teacher training in AI integration to ensure effective pedagogical implementation. Ethical considerations and privacy safeguards in AI utilization are highlighted, signaling crucial areas for further inquiry and practical guidance.

Suggested Citation

  • Xibing Wang & Xiaoshu Xu & Yunfeng Zhang & Shanshan Hao & Weng Jie, 2024. "Exploring the impact of artificial intelligence application in personalized learning environments: thematic analysis of undergraduates’ perceptions in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04168-x
    DOI: 10.1057/s41599-024-04168-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-04168-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-04168-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04168-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.