糖心Vlog

Majority of students deny using AI when forbidden, study finds

Almost one-third of students report not using AI at all in their studies, while non-native English speakers at UK universities are among those relying on the technology regularly

Published on
July 11, 2026
Last updated
July 11, 2026
Group of women learning computer programming
Source: Getty Images/izusek

The majority of students using artificial intelligence (AI) as part of their studies claim to be honest about how they apply it, according to the results of a survey of more than 6,000 students at UK universities.

Of those who said they are incorporating the technology into their degree, 67 per cent said they would not use it to help with 鈥減art or all鈥 of an assessment if they had been instructed not to, a study from Edinburgh Napier University has found.

Nonetheless, 5.2 per cent of all habitual users admitted to using generative AI 鈥渕ost of the time鈥 or 鈥渁lways鈥, even when they knew they were not permitted to.

The results follow a report from plagiarism detection service Turnitin, which suggested American students were depending on AI far more than their Australian or British peers.

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Generative AI's ability to produce entire essays has sparked fears of mass cheating and 鈥渃ognitive offloading鈥, in which people may cede their own intellectual effort to the technology. Some universities have responded by returning to in-person exams.

The latest findings form part of from independent researcher Stephen Gow and Edinburgh Napier academics Sam Illingworth, Khristin Fabian and Callum Goddard, who concluded that,聽鈥渇or those that are using it, the majority of students are honest the majority of the time and are trying to avoid submitting direct GenAI outputs鈥.聽

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Illingworth told 糖心Vlog聽that students face an atmosphere of 鈥渦ncertainty鈥 when it comes to institutional perspectives on the fast-developing technology.

鈥淪tudents want consistency, transparency and fairness,鈥 he said. 鈥淎t the moment they are not getting this. They understand that it is an evolving field but they need help in understanding what it means for their studies and their future careers. It is an amazing opportunity for universities and sadly one that we are failing [at].鈥

Inspired by a 2024 Australian study 鈥 Student Perspectives on AI in 糖心Vlog聽鈥 the researchers polled students at seven universities in England, Scotland and Northern Ireland on their trust in AI and motivations and capabilities when it comes to using it, among other questions.

The聽study聽highlights the widespread misconception that AI use is virtually universal, finding significant evidence of 鈥渃onscientious objectors鈥 鈥 with 32 per cent of respondents reporting that they did not use it for their studies.

Some 59 per cent of men surveyed said they were 鈥渞egular鈥 users compared with 44 per cent of female respondents.

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But the group most likely to rely on the technology was international students, with non-native English speakers often using it daily (32 per cent) or weekly (34 per cent).

Those who do use the technology are not totally trusting: more than half (51 per cent) had a 鈥渘egative sentiment towards the accuracy of outputs鈥, although 76 per cent said they felt confident in their ability to prompt well enough to generate the desired result.

鈥淭he majority of students are using GenAI for a range of learning and assessment tasks, and it is increasingly embedded in everyday technology,鈥 the report notes. It adds: 鈥淐onscious universal usage of the technology, however, cannot be assumed, and there are growing signs of an AI backlash, particularly by conscientious objectors who see there are concerns about the ethical foundations of the technology and see their futures threatened by its rise.鈥

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鈥淚t鈥檚 a challenging time for higher education,鈥 Gow told THE. 鈥淚t鈥檚 also the opportunity to step up.鈥

Gow said it was time to 鈥渓ink up鈥 approaches to how the technology is used across education, and called for schools and universities to work together on the matter.

He added: 鈥淚t gave me profound hope, talking to students鈥he main [story] that people are drawing upon is that students are using it to cheat鈥ut when I was talking to students I was seeing a very different picture.鈥

Illingworth added: 鈥淲e need to involve students in our dialogues around AI.

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鈥淣ot as focus groups after the fact, but as co-creators of meaningful policy that helps alleviate their fears and teach critical AI literacy they actually need.鈥

georgia.luckhurst@timeshighereducation.com

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Reader's comments (7)

Anything to verify the authenticity of the survey responses to derive some measure of accuracy? People responded to something in a survey, then their responses must be true...
Yes I can think of a far more accurate and cynical headline for this article that reflects the trustworthiness of responses to this survey.
Tha majority of students are liars
new
The current university system rewards them for being so - the uninvigilated exams, the difficulty in detecting AI-generated assessments, self-certification of illness, etc.
While it is impossible to know the extent to which students are honest in these surverys, this does tally with my experience. Most of the times I have come across inappropriate use of AI, it has been within assignments where the use of AI is permitted (to be fair, this is the majority of our assignments), in the same way as students used to poorly paraphrase online sources, now they poorly paraphrase AI outputs. Its always been difficult to explain to students that taking someone else's work and paraphrasing it is plagiarism, not different to if they had just copied it directly. I don't think students believe they are "cheating". The trouble is, its very difficult for students to know where the boundary is between legitimate use of LLMs and illegitimate use. I don't think many of my students are just copying LLM output into an assignment. But trying to find the boundary between using LLMs as a tool to help, and offloading all the cognitive work to an LLM, which the student just rewrites and assembles into a single piece of work is not an easy task even for staff to do, let alone students.
The percentage of students stating that they are "using AI"--purposes/tasks undefined--is lower than any other survey. I do not understand why this is the basis of an article. The almost always neglected point remains: not AI yes or not, but using AI appropriately, knowledgeably, and ethnically That meaning teaching and learning including professors and teachers at all levels Student are more often "victims" than "culprits"
"ethnically"????

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