Cited by 115Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationEducational Technology and Pedagogy

Empowering the faculty of education students: Applying AI’s potential for motivating and enhancing learning

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Mohamed, Amr M., Shaaban, Tahany S., Bakry, Sameh H., Guillén-Gámez, Francisco D., Strzelecki, Artur·2025·Innovative Higher Education

Abstract

This study aimed to investigate how AI impacts students’ intrinsic motivation and learning experiences in various cultural and academic settings. An analysis of the effects of AI-powered learning tools on intrinsic motivation and learning enhancement was conducted in early 2024. The study recruited 455 students (192 males and 263 females) from Egypt, Saudi Arabia, Spain, and Poland who were studying diverse majors in educational faculties. Using a 5-point Likert scale, the validated instrument included three dimensions with a total of 10 items: intrinsic motivation and AI, AI and enhancing learning, and overall perception of AI in education. Significant differences were found by nationality and major, with Polish students and education technology majors showing the highest motivation levels. As a result of enhancing learning experiences, autonomy, and critical thinking skills, AI tools were found to positively influence motivation. Motivation, however, was not significantly influenced by academic level. Despite ethical concerns, students held a moderately positive view of artificial intelligence in education. Further research on optimal AI implementation and ethical considerations in education is necessary based on these findings.

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  • Guided reflection exercises might ask students to journal about how and why they used AI in an assignment, what they learned, and how their thinking evolved.

    “Guided reflection exercises might ask students to journal about how and why they used AI in an assignment, what they learned from the process, and how their thinking evolved (Caccavale et al., 2024; Mohamed et al., 2025; Xu et al., 2025).”

    From Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review (2026) · cites this paper as Mohamed et al., 2025

    The study’s third-research-question section reports students’ perceptions that AI helped them identify areas for improvement and develop critical-thinking skills. Neither that passage nor the retrieved passages on AI use and learning describe guided reflection, journaling about an assignment, or tracing how students’ thinking evolved; searches for those practices found no matching passage. Page numbers were not provided in our copy. (LLM, conf=0.72)

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  • Studies have linked such tools to increased student engagement, self-regulated learning, and academic achievement.

    “Studies have linked such tools to increased student engagement, self-regulated learning, and academic achievement [8,54].”

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  1. Alamer, A. (2015). The role of efl learners' motivation in mobile language learning. In M. Dollard (Ed.), First International Conference on Theory and Practice (pp. 142-153). Asia Pacific Institute of Advanced Research (APIAR). https://apiar.org.au/wp-content/uploads/2016/01/ICTP_BRR733_ EDU.pdf
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Authors
Mohamed, A. M., Shaaban, T. S., Bakry, S. H., Guillén-Gámez, F. D., & Strzelecki, A.
Affiliations
  • North Private College of Nursing (SA)
  • Northern Border University (SA)
  • University of Economics in Katowice (PL)
Corresponding author
Strzelecki, Artur
Venue
Innovative Higher Education
Published
2024-10-07
Volume
50
Issue
2
Pages
587-609
ISSN
  • 0742-5627 (ISSN-L)
  • 1573-1758
OpenAlex
W4403170672
Cited by
115
References
58
Citations by year
2026: 54 · 2025: 57 · 2024: 4
FWCI
43.24
Type
journal article
Language
en
Open access
Locations
Innovative Higher Education (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
Keywords
artificial intelligence in education, intrinsic motivation, AI-powered learning tools, student perceptions of AI, cross-cultural comparison, student independence, critical thinking, AI ethics in education, pedagogy students

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