IDEAS home Printed from https://ideas.repec.org/a/teu/ged000/v4y2026i6id11027.html

Development Of A Methodology For Teaching Students Objectoriented Programming In A Virtual Collaborative Environment Using Generative Artificial Intelligence Tools

Author

Listed:
  • Saidova Dilfuza Ergashovna

Abstract

This article discusses the development of a methodology for teaching students object-oriented programmingin a virtual collaborative environment using generative artificial intelligence tools. The integration of artificialintelligence technologies into the educational process provides opportunities to improve the effectiveness ofprogramming education, develop students’ algorithmic thinking, software design skills, and independent learningcompetencies. The article examines methodological aspects of organizing code generation, error detection,problem analysis, and collaborative software project development through generative AI tools. Furthermore, thepedagogical potential of integrating virtual collaboration environments with artificial intelligence technologies inteaching object-oriented programming is analyzed

Suggested Citation

  • Saidova Dilfuza Ergashovna, 2026. "Development Of A Methodology For Teaching Students Objectoriented Programming In A Virtual Collaborative Environment Using Generative Artificial Intelligence Tools," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 4(6), June.
    • Handle: RePEc:teu:ged000:v:4:y:2026:i:6:id:11027
    DOI: 10.5281/zenodo.20704714
    as

    Download full text from publisher

    File URL: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED/article/view/11027
    File Function: Abstract page
    Download Restriction: no
    File URL: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED/article/download/11027/9170
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.5281/zenodo.20704714?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
    ---><---

    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:teu:ged000:v:4:y:2026:i:6:id:11027. 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: Xayrulla (email available below). General contact details of provider: https://yashil-iqtisodiyot-taraqqiyot.uz/journal/index.php/GED .

    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.