Academic Honesty in The Use of Artificial Intelligence in The Educational Process

Authors

  • Dilafruz Mansurovna Mukhiddinova Senior Teacher of The Faculty of Foreign Philology, Chair of Foreign Languages Theory, Kokand State University, Uzbekistan

DOI:

https://doi.org/10.55640/eijmrms-06-04-05

Keywords:

Academic integrity, artificial intelligence, education

Abstract

Artificial intelligence (AI), particularly creative AI tools, has quickly found its way into our schools, reshaping how we teach and how students learn. While AI brings some really helpful benefits for education—such as custom learning experiences, immediate feedback, and improved ways to research—it also sparks serious concerns about honesty in academic work. This article dives into the ethical questions surrounding AI in classrooms, points out new ways academic misconduct might appear, and suggests approaches to uphold integrity in this digital era. Drawing on recent practical and theoretical research, this paper proposes that instead of just banning AI, our approach to academic honesty should shift towards encouraging its responsible, open, and educationally beneficial use.

References

Avello, D., & Aranguren Zurita, S. (2025). Exploring the nexus of academic integrity and artificial intelligence in higher education. International Journal for Educational Integrity. (Springer)

Bittle, K., & El-Gayar, O. (2025). Generative AI and academic integrity in higher education: A systematic review. Information. (MDPI)

Ateeq, A. et al. (2024). Artificial intelligence in education: Implications for academic integrity. Frontiers in Education. (Frontiers)

Lund, B. et al. (2025). Student perceptions of AI-assisted writing and academic integrity. AI Education Journal. (MDPI)

International Center for Academic Integrity. (2021). Fundamental values of academic integrity.

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Published

2026-04-15

How to Cite

Dilafruz Mansurovna Mukhiddinova. (2026). Academic Honesty in The Use of Artificial Intelligence in The Educational Process. European International Journal of Multidisciplinary Research and Management Studies, 6(04), 34–37. https://doi.org/10.55640/eijmrms-06-04-05