IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i6p786-799id9728.html
   My bibliography  Save this article

Artificial intelligence in education: Transforming the process of regional studies training for educators

Author

Listed:
  • Saltanat K. Aitkhozhina

  • Assel S. Kaisarova

  • Gulzhan A. Avgusthanova

  • Salykbayeva M. Galiya

  • Anatoliy S. Chursin

Abstract

The article explores the possibilities of applying artificial intelligence in the regional studies training of teaching staff. It describes modern AI technologies that can be integrated into the educational programs of pedagogical universities, as well as their impact on improving the quality of education. The main focus is on the potential of AI in developing pedagogical and regional studies competencies, adapting curricula, and shaping individual learning paths. The article analyzes the experience of implementing AI in teacher education and its potential to optimize the learning process. It examines the advantages of using AI for creating personalized learning, increasing student motivation, and improving the quality of material retention. An overview of existing technologies and platforms is provided, along with proposed options for pedagogical experiments aimed at introducing interactive regional studies resources. The methodological approach includes both qualitative and quantitative research methods, including student surveys and pilot projects for integrating AI into the educational process. The results show a significant improvement in students' academic performance and engagement following the implementation of AI technologies. The conclusions emphasize the importance of integrating AI into the training of future geography teachers to enhance the quality of education.

Suggested Citation

  • Saltanat K. Aitkhozhina & Assel S. Kaisarova & Gulzhan A. Avgusthanova & Salykbayeva M. Galiya & Anatoliy S. Chursin, 2025. "Artificial intelligence in education: Transforming the process of regional studies training for educators," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(6), pages 786-799.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:6:p:786-799:id:9728
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/9728/2197
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:aac:ijirss:v:8:y:2025:i:6:p:786-799:id:9728. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.