IDEAS home Printed from https://ideas.repec.org/a/cvg/jpepsc/v4y2025i4p31-37.html
   My bibliography  Save this article

Application of Learning Analytics Technology in Architectural Education Informatics

Author

Listed:
  • Hongfei Yu

    (Shaanxi Yiyou Shuo Culture Development Co., Ltd., Xi’an 710075, China)

  • Xiaoqin Nan

    (Shaanxi Guanglong Construction Engineering Co., Ltd., Xi’an 710075, China)

Abstract

Learning analytics technology, a crucial component of educational informatics, offers educators profound insights into students’ learning behaviors and outcomes. This study investigates the application of learning analytics technology in architectural education informatics, using the “Fundamentals of Architectural Design” course at Huazhong University of Science and Technology as a case study. It explores the application of learning analytics technology in architectural education, including learning behavior analysis, learning outcome prediction, and learning intervention strategies. The findings reveal that learning analytics technology can significantly enhance teaching efficiency, optimize learning experiences, and promote educational equity. The study concludes that learning analytics technology holds great potential for application in architectural education and provides strong support for the informatization reform of architectural education.

Suggested Citation

  • Hongfei Yu & Xiaoqin Nan, 2025. "Application of Learning Analytics Technology in Architectural Education Informatics," Journal of Progress in Engineering and Physical Science, Pioneer Academic Publishing Limited, vol. 4(4), pages 31-37, August.
    • Handle: RePEc:cvg:jpepsc:v:4:y:2025:i:4:p:31-37
    DOI: 10.56397/JPEPS.2025.08.04
    as

    Download full text from publisher

    File URL: https://www.pioneerpublisher.com/jpeps/article/view/1405/1307
    Download Restriction: no
    File URL: https://libkey.io/10.56397/JPEPS.2025.08.04?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:cvg:jpepsc:v:4:y:2025:i:4:p:31-37. 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: Editorial Office (email available below). General contact details of provider: https://www.pioneerpublisher.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.