Submitting Campus
Worldwide
Department
Aeronautics
Document Type
Book Chapter
Publication/Presentation Date
1-31-2026
Abstract/Description
Using a gender lens, this research explores the intersection of artificial intelligence (AI) educational tools and academic integrity. Studies suggest gender differences exist in academic dishonesty rationalization, with males potentially exhibiting more opportunistic behaviors. This qualitative study collected data through 30-minute face-to-face semi-structured interviews, recorded with consent, and analyzed thematically. Four significant themes emerged: Gender Perspectives on AI Tool Usage, Patterns of AI Tool Utilization, Academic Integrity Concerns, and Implications of Academic Dishonesty. The results indicate that educational establishments should adopt responsible AI governance frameworks and ethical guidelines to uphold academic standards while promoting scholarly integrity and institutional trust.
Publication Title
2025 Yearbook Emerging Technologies in Learning
DOI
https://doi.org/10.1007/978-3-032-09058-4
Publisher
Springer Nature Switzerland AG
AERO Commons Citation
Sayegh, N., Karkoulian, S., Elias, A.C., Halawi, L. (2026). The AI Academic Integrity Dichotomy: A Gender Lens. In: May, D., Auer, M.E. (eds) 2025 Yearbook Emerging Technologies in Learning. Learning and Analytics in Intelligent Systems, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-032-09058-4_13
Included in
Artificial Intelligence and Robotics Commons, Educational Technology Commons, Feminist, Gender, and Sexuality Studies Commons, Higher Education Commons
