Higher education is up in arms over AI. At first, it was ChatGPT. Cheating is widespread. Plagiarism is rampant. We have to radically change how we teach. Then progress delivered yet another nail in the proverbial coffin of higher education. Einstein AI can now do students’ work while they sleep. We can no longer trust the diplomas and credentials because… you know… AI.
But how catastrophic is student cheating? And why do students cheat?
The first and only time I ever got in trouble over academic integrity was when I inadvertently plagiarized the Holy Bible. In my freshman elective class — History of Christianity. The professor invited me for a “talk.” The only reason I was not in trouble, she said, was because she knew where I was from. And that plagiarism was not a thing there. That being said, I was to be much more careful with my writing as something like that could get me expelled. Wow! I dropped the course and shifted my attention to courses that didn’t require much writing.
Up until then, the only paper I had ever written in English was my senior paper in the 20th century American Literature class. As a new immigrant to the US, I had no idea how to write a senior paper. I could barely understand my teachers. But my written communication skills were apparently good enough for the powers in charge to drop me in that course with no further concern or support from school administrators. As I said, I had no idea what was happening but I still had to read something and produce a long paper on the reading. I honestly do not remember anything else about that class. But, to somehow produce something, I decided I would write about the books I had already read. In Russian. In my infinite wisdom, I chose two American classics that were approved by the Soviet censorship in the late 80s/early 90s — the American Tragedy by Theodore Dreiser and Jack
London’s Martin Eden. To top it all, I chose the topic I had firmly internalized after 17 years of brainwashing — the evils of capitalism. The KGB should have recruited me then and there but all I got was a D for my efforts.
I did eventually learn how to express myself, how to state a problem of practice, form a hypothesis, and develop an argument to support my statements. I have taught undergraduate capstone courses, produced a dissertation, and published a book. In other words, I have improved a bit since those two early attempts at writing.
So How Widespread Is It, Really?
Let’s start with the numbers, because the panic in faculty lounges deserves to be tested against actual data. Research going back decades is remarkably consistent: somewhere between 60 and 70 percent of college students admit to cheating in some form. Importantly, that figure did not change with the arrival of AI. Prothero (2024) reported that for years before the release of ChatGPT, between 60 and 70 percent of students admitted to cheating — and that remained unchanged in 2023 surveys. In other words, AI didn’t create a generation of cheaters. It just gave an already-cheating generation a faster tool.
The landmark research of Dr. Donald McCabe, who surveyed over 70,000 students across more than two decades, put the scope of the problem in starker terms. According to the International Center for Academic Integrity (2020), McCabe’s surveys found that 64% of students admitted to cheating on a test, 58% admitted to plagiarism, and 95% reported participating in some form of academic dishonesty. That is not a crisis born of ChatGPT. That is a deeply embedded feature of how students navigate academic life.
Now, layer AI on top of that. The Higher Education Policy Institute (2025) found that 92% of undergraduate students now use AI tools for academic work — up from 66% the previous year — and that 88% had used generative AI to complete assessments, a sharp rise from 53% just a year earlier. In the UK, where institutional tracking is more rigorous than in the United States, EdScoop (2025) reported that the rate of confirmed AI cheating rose from 1.6 cases per 1,000 students in 2022–23 to 5.1 per 1,000 in 2023–24, and projections suggest it has since climbed to approximately 7.5 per 1,000.
But here is the part that should give everyone pause: Nerdynav (2025) reported that in a controlled test at the University of Reading, 94% of AI-written exam submissions went completely undetected by markers. The students who get caught are almost certainly the tip of the iceberg. Still, some researchers urge caution before reaching for the fire alarm. Turnitin, which processes hundreds of millions of student assignments, found that only about 3 out of every 100 assignments were generated mostly by AI, and that figure has remained relatively stable since AI detection tools were first introduced (Prothero, 2024). The panic and the data do not always point in the same direction.
But Why Do They Do It?
This is where the story gets more interesting — and more human. The simplest answer is pressure. Meazure Learning (2025) noted that students commonly cite heavy workloads, the pressure to justify substantial tuition costs, and the perception that course content is irrelevant to their careers as key factors in the decision to cheat. When you are paying $50,000 a year for an education and your professor assigns a paper on a topic you find completely disconnected from any career you can imagine, the moral calculus shifts. Cheating starts to feel less like theft and more like a rational response to an irrational system.
There is also a social contagion effect. Newton and Essex (2023) found that when students believe cheating is widespread within an institution, a cheating culture tends to take hold — making it increasingly likely that both current and future students will engage in misconduct. In other words, cheating is partly a collective action problem. If everyone around you appears to be doing it and facing no consequences, your own resistance erodes. This is not an excuse — it is sociology.
And then there are the students for whom cheating is not opportunism but survival. Research from Odisha, India, applying Amartya Sen’s capability approach, found that students from economically disadvantaged backgrounds often view cheating as a pragmatic response to the need for immediate employment and economic security (as cited in Resisinternational, 2024). A first-generation college student who is also working 30 hours a week to pay rent is making different calculations than a legacy student whose family has a safety net several generations deep.
Peer pressure compounds all of this. A meta-analysis by Koscielniak et al. (2022), drawing on data from 38 studies and over 24,000 participants, confirmed a significant relationship between students’ perception of peer cheating and their own likelihood of engaging in academic dishonesty. We are social creatures. We take our behavioral cues from the people around us, and when those cues point toward cutting corners, many of us follow.
Culture Matters — Perhaps More Than We Admit
confined to struggling students but runs through the entire achievement spectrum. This is confirmed by a striking finding from Fordham University, cited by OEDB (2016): students who cheat averaged a GPA of 3.41, compared to 2.85 for those who did not. Cheating, it turns out, is often a strategy of the ambitious, not just the desperate.
The System’s Role — And Ours
References
- EdScoop. (2025, June 16). AI cheating is on the rise. https://edscoop.com/ai-cheating-universities-2025/
- Gullifer, J. M., & Tyson, G. A. (2018). To cheat or not to cheat: Academic integrity across cultures. International Journal for Talent Development and Creativity, 6(1–2), 155–172.
- Higher Education Policy Institute. (2025). Student academic experience survey 2025. https://www.hepi.ac.uk
- International Center for Academic Integrity. (2020). Facts and statistics. https://academicintegrity.org
- Koscielniak, M., Bojanowska, A., & Urbanski, M. (2022). Academic dishonesty and its relations to peer cheating and culture: A meta-analysis of the perceived peer cheating effect. Learning and
Instruction, 79, Article 101581. https://doi.org/10.1016/j.learninstruc.2022.101581 - McCabe, D. L. (2012). Cheating in college: Why students do it and what educators can do about it. Johns Hopkins University Press.
- Meazure Learning. (2025, April 17). By the numbers: Academic integrity in higher education.
https://www.meazurelearning.com/resources/by-the-numbers-academic-integrity-in-higher-education - Nerdynav. (2025). ChatGPT cheating statistics (2025): Latest facts on AI in schools & universities.
https://nerdynav.com/chatgpt-cheating-statistics/ - Newton, P. M., & Essex, K. (2023). Why students cheat and how understanding this can help reduce the frequency of academic misconduct in higher education: A literature review. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1-18
- OEDB. (2016, March 31). 8 astonishing stats on academic cheating. https://www.oedb.org/ilibrarian/8-astonishing-stats-on-academic-cheating/
- OctoProctor. (n.d.). Academic dishonesty statistics: Trends and insights. https://octoproctor.com/blog/academic-dishonesty-statistics
- Prothero, A. (2024, April 9). New data reveal how many students are using AI to cheat. Education Week. https://www.edweek.org/technology/new-data-reveal-how-many-students-are-using-ai-to-cheat/2024/04
- Resisinternational. (2024). Stories behind academic cheating: Cheaters’ perspective. International Journal of Research and Innovation in Social Science. https://rsisinternational.org/journals/ijriss/articles/stories-behind-academic-cheating-cheaters-perspective/
- Wiley. (2024, July 29). Generative AI and academic integrity: A survey of students and instructors [As reported in Inside Higher Ed]. https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/07/29/students-and-professors-expect-more