The International Journal of Technology, Innovation, and Education

ISSN: 2820 – 7521

Volume 3, 2025 – Issue 3

Drawing the line: A review on generative AI use in higher education

DOI: 10.5281/zenodo.17442962

Abstract

The rise of generative AI has created a shift in higher education, raising urgent questions about academic integrity, student learning, and ethical boundaries. As AI tools become mainstream, faculty and administrators face a dilemma: Should AI be integrated into teaching practices, carefully regulated, or restricted altogether? This review examines the current state of generative AI in higher education, identifies the associated risks and benefits, and explores both pedagogical strategies and institutional guidelines for ethical AI integration. Drawing on recent studies, this paper argues for a multilevel governance approach that emphasizes transparency, ethical awareness, and policies to balance innovation with integrity.

Keywords: generative AI, higher education, AI in education, risks of AI, benefits of AI. 

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Research Papers

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El Moussaddar, J., Habiballah, S., & Tadist, K. (2025). Drawing the line: A review on generative AI use in higher education. The International Journal of Technology, Innovation, and Education, 3(3), 102–116. https://doi.org/10.5281/zenodo.17442962

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El Moussaddar, Jihane, Salma Habiballah, and Khawla Tadist. 2025. “Drawing the Line: A Review on Generative AI Use in Higher Education.” The International Journal of Technology, Innovation, and Education 3 (3): 102–16. https://doi.org/10.5281/zenodo.17442962.

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El Moussaddar, Jihane, et al. “Drawing the Line: A Review on Generative AI Use in Higher Education.” The International Journal of Technology, Innovation, and Education, vol. 3, no. 3, Oct. 2025, pp. 102–16, https://doi.org/10.5281/zenodo.17442962.

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J. El Moussaddar, S. Habiballah, and K. Tadist, “Drawing the line: A review on generative AI use in higher education,” The International Journal of Technology, Innovation, and Education, vol. 3, no. 3, pp. 102–116, Oct. 2025, doi: 10.5281/zenodo.17442962.

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El Moussaddar, J., Habiballah, S. and Tadist, K. (2025) “Drawing the line: A review on generative AI use in higher education,” The International Journal of Technology, Innovation, and Education, 3(3), pp. 102–116. Available at: https://doi.org/10.5281/zenodo.17442962.

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El Moussaddar J, Habiballah S, Tadist K. Drawing the line: A review on generative AI use in higher education. The International Journal of Technology, Innovation, and Education [Internet]. 2025 Oct 27;3(3):102–16. Available from: https://ijtie.com/wp-content/uploads/2025/10/N30357.pdf

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El Moussaddar, J., Habiballah, S., & Tadist, K. (2025). Drawing the line: A review on generative AI use in higher education. The International Journal of Technology, Innovation, and Education, 3(3), 102–116. https://doi.org/10.5281/zenodo.17442962

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About the authors
  1. Dr. Jihane El Moussaddar is a lecturer at the Language Center at Al Akhawayn University. She is a graduate of Sidi Mohamed Ben Abdelah University with a Doctorate degree in English Language and Literature. She has taught Academic Writing, Reading, Listening, and Technical Writing courses at Al Akhawayn University. Her research interests are EFL, students’ satisfaction, applied linguistics, and AI use in education. She can be contacted at jihane.elmoussaddar@gmail.com

    jihane.elmoussaddar@gmail.com
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  2. Dr. Salma Habiballah is a PhD holder in applied linguistics. Her research interests include examining the effectiveness of online education as perceived by both teachers and students as well as discovering the ways different members of educational boards use to enhance their digital learning experiences.

    salma.habiballah@usmba.ac.ma
    ↩︎
  3. Dr. Khawla Tadist is a lecturer at the Faculté Polydisciplinaire de Taza, Sidi Mohamed Ben Abdellah University. She holds a PhD in Computer Science with a specialization in Big Data and Artificial Intelligence, as well as an MA in English Studies. She teaches a variety of modules ranging from programming to networking. Her research interests include Big Data, Artificial Intelligence, and their applications in education and beyond. She can be contacted at Khawla.tadist@usmba.ac.ma

    khawlatadist@gmail.com
    ↩︎
DOI

TIE Journal

The International Journal of Technology, Innovation, and Education