IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v39y2026i1p1-13.html

Digital Intelligence and Design Thinking to Improve Self-Directed Learning in Graduate Education

Author

Listed:
  • Linxue Lyu

    (Beijing Union University, China)

  • Peng Li

    (Beijing Xiangxing Printing Consulting Co., Ltd., China & Beijing Teluomu Cultural Creative Co., Ltd., China)

Abstract

In this study, the authors developed and empirically validated a dual core driven self-directed learning model for design graduate students, integrating digital intelligence empowerment and design thinking. Responding to the weaknesses of traditional instructor-centered education and the underexplored role of digital tools in design education, the authors built the framework on self-determination and self-regulated learning theories. The framework features five core dimensions: goal alignment, resource management, process regulation, collaborative learning, and reflective capability building. The authors verified the model through two rounds of iterative curriculum intervention. Findings confirmed that the dual core approach significantly strengthens learners' autonomy, adaptive regulation, collaboration, and reflective capabilities. The model offers a scalable, theory-grounded paradigm for digitally enabled graduate education reform and aligns with the needs of modern design practice.

Suggested Citation

  • Linxue Lyu & Peng Li, 2026. "Digital Intelligence and Design Thinking to Improve Self-Directed Learning in Graduate Education," Information Resources Management Journal (IRMJ), IGI Global Scientific Publishing, vol. 39(1), pages 1-13, January.
  • Handle: RePEc:igg:rmj000:v:39:y:2026:i:1:p:1-13
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.413065
    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:igg:rmj000:v:39:y:2026:i:1:p:1-13. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.