Students at Staffordshire University Push Back After Realizing Their Course Is Mostly AI-Generated

Here’s a story that feels like it belongs in a Black Mirror episode, but it’s real and it happened this year at the University of Staffordshire.

A group of 41 students enrolled in a coding module last year, hoping to pivot into cybersecurity or software engineering through a government-funded apprenticeship. Instead, they got a course where the slides were generated by AI, the voiceover was AI, and the whole thing felt like it was assembled on a tight budget and a shorter deadline.

James and Owen were two of those students. They noticed something was off almost immediately. The first PowerPoint presentation included an AI-generated voice reading the slides in what was supposed to be the lecturer’s voice. Then came the telltale signs: American English that had been half-heartedly edited to British English, suspicious file names, and content that was so generic it occasionally referenced US legislation by mistake. In one video, the voiceover suddenly switched to a Spanish accent for about 30 seconds before snapping back to a British one.

James didn’t just notice and move on. He confronted the lecturer during a recorded lecture in October 2024. “I know these slides are AI-generated,” he said. “I know that everyone in this meeting knows these slides are AI-generated. I would rather you just scrap these slides. I do not want to be taught by GPT.”

Another student chimed in: “There are some useful things in the presentation. But it’s like, 5% is useful nuggets, and a lot is repetition. There is some gold in the bottom of this pan. But presumably we could get the gold ourselves, by asking ChatGPT.”

The lecturer laughed uncomfortably and changed the subject, mentioning another tutorial he’d made—using ChatGPT. “I’ve done this short notice, to be honest,” he said.

This isn’t just a one-off complaint. The Guardian reviewed the course materials and ran them through two AI detectors, Winston AI and Originality AI. Both flagged a “very high likelihood” that assignments and presentations were AI-generated.

What’s especially galling is the double standard. The university’s public-facing policies explicitly limit students’ use of AI, warning that outsourcing work to AI or passing off AI-generated work as your own is academic misconduct. But apparently, that rule doesn’t apply to the people running the course. James put it bluntly: “If we handed in stuff that was AI-generated, we would be kicked out of the uni, but we’re being taught by an AI.”

Rather than addressing the issue, the university uploaded a policy statement this year that appears to justify the use of AI in teaching, laying out “a framework for academic professionals leveraging AI automation.” So instead of fixing the problem, they formalized it.

James is understandably frustrated. He’s mid-career, trying to make a change, and now feels like he’s wasted two years on a course that was done “in the cheapest way possible.” “I’m stuck with this course,” he said.

This isn’t an isolated incident. A Jisc survey of over 3,000 higher education teaching staff found that nearly a quarter are using AI tools in their teaching. A Department of Education policy paper from August celebrated this trend, saying generative AI “has the power to transform education.”

But for the students actually sitting through these AI-generated lectures, “transformative” isn’t the word they’d use. On Reddit, UK undergraduates complain about lecturers copying and pasting feedback from ChatGPT. In the US, students leave negative reviews about professors who rely on AI. The sentiment is consistent: it feels cheap, impersonal, and disrespectful.

One student summed it up: “I understand the pressures on lecturers right now that may force them to use AI, it just feels disheartening.”

Look, I get that universities are under pressure. Budgets are tight, workloads are heavy, and AI tools can save time. But there’s a difference between using AI to assist teaching—like generating practice problems or drafting a syllabus—and using it to replace the teaching itself. When students pay tuition (or taxpayers fund a program) expecting real instruction, getting a robot with a glitching accent isn’t just disappointing. It’s a breach of trust.

If I were a student in that room, I’d be asking the same question: if the university can’t be bothered to teach the course, why should I bother to learn it?