ARTIFICIAL INTELLIGENCE-RELATED PLAGIARISM IN EDUCATION: A SYSTEMATIC REVIEW
DOI:
https://doi.org/10.46827/ejes.v12i4.6029Keywords:
AI-related plagiarism, academic integrity, plagiarism detection tools, Social Learning Theory, ethical academic practicesAbstract
The rapid advancements in artificial intelligence (AI) have transformed educational practices, but they have also introduced challenges such as AI-related plagiarism, which undermines academic integrity. This study explores the prevalence, challenges, and effectiveness of AI-based tools in detecting and preventing plagiarism in educational settings. The study employed Social Learning Theory (Bandura, 1977) to explore the behavioral dynamics influencing plagiarism and the role of institutional policies and AI tools in shaping ethical academic practices. Using a systematic review approach, 11 studies were analyzed to evaluate existing tools and strategies. The findings indicate that while AI-driven plagiarism detection tools have improved in identifying traditional and AI-generated plagiarism, they often lag behind the rapidly advancing AI technologies. Additionally, the study highlights the gaps in awareness and policy integration, emphasizing the importance of combining technological solutions with education on ethical academic behavior. The conclusion calls for a multifaceted approach that integrates technological innovation, policy frameworks, and proactive education to combat plagiarism effectively. This study contributes to the academic discourse by providing actionable insights for educators, policymakers, and developers, addressing a critical aspect of AI’s role in modern education.
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References
Ahmed, Z. and Johansson, E. (2024). Academic misconduct in the era of artificial intelligence. International Journal of Educational Research, 92(4), 189–204.
Banda, A. and Mpolomoka, D.L. (2023). A Critique of the Southern African Development Community’s Protocol on Education and Training. In M. Makua & M. Akinlolu (Eds.). (2023). Sustaining Higher Education Through Resource Allocation, Learning Design Models, and Academic Development. IGI Global. https://doi.org/10.4018/978-1-6684-7059-6
Brown, N. and Foster, P. (2024). Plagiarism challenges in AI-assisted educational systems. Computers & Education, 199, Article 104234. DOI: 10.1016/j.compedu.2024.104234
Chanda, C.T., Sain, Z.H., Mpolomoka, D.L., Akpan, W.M. & Davy, M. (2024). Curriculum Design for the Digital Age: Strategies for Effective Technology Integration in Higher Education. International Journal of Research 11(7), 185201. https://doi.org/10.5281/zenodo.13123899
Chanda, C.T., Welbeck, A.B., Sain, Z.H., Mpolomoka, D.L., Chisebe, S. and Phiri, E.V. (2024). The effect of management information system on student academic performance: A case of selected higher learning institutions in Lusaka District, Zambia. World Journal of Advanced Research and Reviews 24(03), 118–129. https://doi.org/10.30574/wjarr.2024.24.3.3669
Lee, F. and Thomas, D. (2024). AI and plagiarism detection: New solutions for an old problem. The Internet and Higher Education, 57, Article 101121. DOI: 10.1016/j.iheduc.2024.101121
Leung, T. and Davies, M. (2024). Evaluating the effectiveness of AI-based tools in plagiarism prevention. International Journal of Human-Computer Interaction, 40(3), 215–230. DOI: 10.1080/10447318.2024.1234567
Maass, W., Han, H., Yasar, H. and Multari, N. (2024). Conceptual modeling: LNCS 15238. Lecture Notes in Computer Science, 15238, 89–102. DOI: 10.1007/978-3-031-75872-0
Martinez, P. and White, J. (2024). AI in education: A double-edged sword for plagiarism? Proceedings of the ACM International Conference on Learning Technologies, 18(2), 112–127. DOI: 10.1145/3563789
Merod, A. (2025, January 15). Student, teacher AI use continued to climb in the 2023-24 school year. K12 Dive. Retrieved March 9, 2025, from https://www.k12dive.com/news/student-teacher-ai-use-schools-cdt/737335/
Mpolomoka, D.L. (2024a). Impact of Academic Capitalism on Quality Higher Education: A Utilitarian View. In M. Kayyali (Ed.), Navigating Quality Assurance and Accreditation in Global Higher Education (pp. 393-406). IGI Global Scientific Publishing. https://doi.org/10.4018/979-83693-6915-9.ch016
Mpolomoka, D.L. (2024b). Research Ethics in Post-Graduate Education: A Meta-Analysis. Journal of Education and Practice, 15(13), 26-33 https://doi.org/10.7176/JEP/15-13-02
Muvombo, M., Musonda, A., Mpolomoka, D.L., Banda, S., Sampa, R.L. and Chalwe, A.N. (2024). Nurturing Parental Involvement in Artificial Intelligence (AI) Literacy among Children in Multicultural Classrooms. Journal of Culture, Society and Development, 73, 72-83. https://doi.org/10.7176/JCSD/7307
Singh, K. and Hartley, B. (2024). The impact of AI on academic integrity policies. Active Learning in Higher Education, 25(2), 134–149. DOI: 10.1177/1469787423116751
Smith, J. and Taylor, A. (2024). AI-driven plagiarism detection in academic writing. Journal of Educational Computing Research, 60(3), 223–239. DOI: 10.1007/s40593-024-00056-x
Spirgi, L., Seufert, S., Delcker, J. and Heil, J. (2024). Student perspectives on ethical academic writing with ChatGPT: An empirical study in higher education. CSEDU 2024 - 16th International Conference on Computer Supported Education, Vol. 2, pages 179-186. DOI: 10.5220/0012555700003693
Wang, R. and Lopez, C. (2024). Ethical challenges of AI in higher education assessment. Computer Applications in Engineering Education, 32(4), 315–329. DOI: 10.1002/cae.22407
Wu, C. and Morgan, M. (2024). AI and academic ethics: Exploring new frontiers. Studies in Higher Education, 49(3), 213–227. DOI: 10.1080/14703297.2024.112345
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