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Academic Integrity in the Era of Artificial Intelligence: A Systematic Review
Open accessAbstract
In recent years, the rapid evolution of digital technology; currently, the increasing use of artificial intelligence in educational practices offers new opportunities, including the improvement of personalized learning and assessment.With the emergence of the Covid-19 pandemic, there is a significant surge in various forms of distance learning, which presents challenges related to forms of dishonesty.This poses major challenges to academic integrity.This study addresses the issue of academic integrity in the era of AI.Using a systematic approach, this research aims to examine the depth of the existing literature exploring the relationship between the evolution of AI and academic integrity in the context of distance learning.The study's findings reveal that the use of artificial intelligence applications in academic and educational institutions may raise concerns about the credibility of assessment results and the ethical use of AI.The study also highlights that despite the specific drawbacks of AI, its educational benefits are significant.Finally, the conclusions of this study suggest research directions to anticipate the future developments of universities and schools in an educational context where AI will play a central role.
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Academic integrity issues constitute the most immediate and broadly debated topic, as research has shown that students extensively employ generative AI tools to finish assignments without permission, generate plagiarized work, and circumvent conventional assessment methods.
“Academic integrity issues constitute the most immediate and broadly debated topic, as research has shown that students extensively employ generative AI tools to finish assignments without permission, generate plagiarized work, and circumvent conventional assessment methods (Ebrahim, Mhouti and Allaoui, 2025).”
From A Multi-Dimensional Decision Framework for Evaluating and Selecting AI-Enabled Instructional Technology in U.S. Higher Education (2025) · cites this paper as Ebrahim, Mhouti and Allaoui, 2025
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Experimental — accuracy not yet measuredMultiple studies documented cases where students' ability to perform tasks independently declined after extended application of AI tools.
“Multiple studies documented cases where students' ability to perform tasks independently declined after extended application of AI tools, which raised concerns about the long-term impact on critical thinking, composition, and problem-solving skills (Ebrahim, Mhouti and Allaoui, 2025).”
From A Multi-Dimensional Decision Framework for Evaluating and Selecting AI-Enabled Instructional Technology in U.S. Higher Education (2025) · cites this paper as Ebrahim, Mhouti and Allaoui, 2025
Section 4.2 discusses concerns about assessment credibility and academic integrity, while section 4.1 discusses AI-assisted task completion and students’ autonomy to learn (page numbers unavailable). Neither section reports studies documenting a decline in students’ ability to perform tasks independently after extended AI use. Searches for independent task performance, dependency, extended use, and long-term effects found no passage establishing that claim. (LLM, conf=0.74)
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Research works printed but not linked: 21
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Metadata
- Authors
- Ebrahim, O. O., Mhouti, A. E., & Allaoui, M.
- Affiliations
- Abdelmalek Essaâdi University (MA)
- Corresponding author
- Ebrahim, Omar Oulad
- Venue
- Atlantis Highlights in Social Sciences, Education and Humanities
- Publisher
- Atlantis Press SARL
- Published
- 2025
- Pages
- 99-113
- ISSN
- 2667-128X (ISSN-L)
- 2731-796X
- OpenAlex
- W4411464546
- Cited by
- 2
- References
- 0
- Citations by year
- 2026: 2
- FWCI
- 0.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Atlantis highlights in social sciences, education and humanities/Atlantis Highlights in Social Sciences, Education and Humanities (publishedVersion, cc-by-nc)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Education › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- academic integrity, artificial intelligence in education, distance education, academic dishonesty, assessment credibility, ethical use of AI, personalized learning, COVID-19 pandemic
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