IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v14y2025i6p355-d1671151.html
   My bibliography  Save this article

Artificial Intelligence Adoption Amongst Digitally Proficient Trainee Teachers: A Structural Equation Modelling Approach

Author

Listed:
  • María Belén Morales-Cevallos

    (Faculty of Marketing and Communication, Universidad Ecotec, Via Principal Campus Ecotec Km 13.5, Sam-borondón 092302, Ecuador)

  • Santiago Alonso-García

    (Departament of Didactics and School Organization, Universidad de Granada, 18011 Granada, Spain)

  • Alejandro Martínez-Menéndez

    (Departament of Didactics and School Organization, Universidad de Granada, 18011 Granada, Spain)

  • Juan José Victoria-Maldonado

    (Departament of Didactics and School Organization, Universidad de Granada, 18011 Granada, Spain)

Abstract

The present study examines how pre-service teachers’ digital competence influences their acceptance and use of Artificial Intelligence (AI) in educational settings. Employing a quantitative approach via Structural Equation Modelling (SEM), the authors analyzed self-reported data from Early Childhood and Elementary Education students in Andalusian (Spain) universities. The findings indicate that professional engagement is associated with a critical assessment of AI, focusing on pedagogical and ethical considerations, whereas digital content creation skills promote a more positive and proactive attitude toward AI adoption. These results underscore the importance of teacher education programs that combine technical skills with critical thinking to foster responsible AI integration. This study acknowledges limitations, including its regional scope and cross-sectional design and recommends future longitudinal and comparative research to validate and expand these insights. By addressing these gaps, future studies could enhance our understanding of AI adoption in diverse educational contexts.

Suggested Citation

  • María Belén Morales-Cevallos & Santiago Alonso-García & Alejandro Martínez-Menéndez & Juan José Victoria-Maldonado, 2025. "Artificial Intelligence Adoption Amongst Digitally Proficient Trainee Teachers: A Structural Equation Modelling Approach," Social Sciences, MDPI, vol. 14(6), pages 1-23, June.
    • Handle: RePEc:gam:jscscx:v:14:y:2025:i:6:p:355-:d:1671151
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/14/6/355/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/14/6/355/
    Download Restriction: no
    ---><---

    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:gam:jscscx:v:14:y:2025:i:6:p:355-:d:1671151. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.