Creative AI in education: The role of technological dependence, motivation, and student participation
##plugins.themes.bootstrap3.article.main##
Abstract
The rapid advancement of Artificial Intelligence (AI) offers a transformative opportunity for education, yet its full potential in learning environments remains largely unexplored, particularly regarding its impact on student engagement and personalized learning. This study examines the role of AI in education, focusing on its contribution to the learning process and its impact on student motivation. A cross-sectional survey was conducted with 1,294 Indonesian students (51.16% female, 48.84% male) selected through random sampling. Data was gathered using an online questionnaire that assessed AI usage, perceived effectiveness, motivation, and participation before and after AI implementation. The findings indicate that students viewed AI as a valuable tool for academic tasks, particularly for summarizing content and writing essays. Most notably, motivation increased significantly after AI usage, with mean scores rising from 2.9 to 4.1, suggesting a strong correlation between AI use and active participation (r = .69). These results suggest that AI technologies effectively enhance student motivation and engagement, fostering a more interactive learning experience. These findings imply that integrating AI into education should be guided by clear pedagogical strategies to enhance motivation and participation while supporting creativity and critical thinking.
Downloads
##plugins.themes.bootstrap3.article.details##

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The papers published in this journal are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors are the holders of the exploitation rights (copyright) of their work, but grant the right of first publication to the Revista de Estudios e Investigación en Psicología y Educación, which may publish in any language and format as well as publish and distribute their whole or partial content by any technologically available means and via data base.
Authors are allowed and encouraged to disseminate the articles accepted for publication on personal or institutional websites, before and after their publication, provided it is clearly stated that the work is in this journal and all bibliographic data are provided along with access to the document, preferably through the DOI (if it is indispensable to use a pdf, the final version formatted by the journal should be used). In the case of articles resulting from funded studies or projects, this will be done within the deadlines and terms established by the supporting organisation(s) of the published research.

