IDEAS home Printed from https://ideas.repec.org/a/das/njaigs/v8y2025i1p150-161id360.html
   My bibliography  Save this article

Adaptive Learning Systems Amid Cultural Differences: Design and Efficacy Insights

Author

Listed:
  • Amal Altalhi

Abstract

Considering the research gap in the cultural influence on the efficacy and design of Adaptive Learning Systems (ALS), the study proposes the Culturally Attuned Adaptive Learning Theory (CAALT). CAALT is derived from theoretical constructs related to cultural dimensions, learning activities, and the implementation of ALS and was developed using the Thought Gear model through a review of 17 academic papers. CAALT is built on three key propositions: (1) students may resist learning activities that conflict with their cultural values; (2) cultural dynamics significantly affect ALS performance due to their critical role in implementation; and (3) there is a demand for designing adaptive learning models that incorporate cultural dimensions. While learning activities primarily influence efficacy, cultural dynamics and dimensions play a greater role in system design.

Suggested Citation

  • Amal Altalhi, 2025. "Adaptive Learning Systems Amid Cultural Differences: Design and Efficacy Insights," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 8(1), pages 150-161.
  • Handle: RePEc:das:njaigs:v:8:y:2025:i:1:p:150-161:id:360
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:das:njaigs:v:8:y:2025:i:1:p:150-161:id:360. 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: Open Knowledge (email available below). General contact details of provider: https://newjaigs.com/index.php/JAIGS/ .

    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.