From Novelty to Normalisation: Tracking Changing Perceptions of AI in Higher Education, 2024-2026
This longitudinal study of 1,665 participants at Ulster University from 2024 to 2026 reveals that while undergraduate students rapidly normalized the use of generative AI, teaching staff maintained persistent concerns regarding academic integrity and critical thinking, resulting in a widening perception gap that highlights the urgent need for adaptive institutional policies and targeted training.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
The Great AI Rollercoaster: A Story of Growing Pains in the Classroom
Imagine the world of higher education as a massive, bustling theme park. For decades, the rides were predictable: students learned, teachers taught, and everyone followed the same map. But then, a new, wild ride called "Generative AI" suddenly appeared in 2022. It's a machine that can write stories, solve problems, and create images in seconds, almost like a super-fast, digital genie. At first, everyone was just staring at the ride, wondering if it was safe or if it would break. Some people thought it was magic; others thought it was a trap.
This paper dives into what happens when a whole university decides to ride that rollercoaster together over a few years. It tracks how students, teachers, and staff feel about this new technology as time goes on. The big question isn't just "Do they like it?" but "How does their feeling change as they get used to it?" Does the excitement turn into boredom? Does the fear turn into trust? Or do the riders and the ride operators start looking at the track in completely different directions? Understanding this shift is crucial because if the rules of the park don't match how people are actually riding, the whole system could get chaotic.
From "What is that?" to "I use that every day"
This study is a long-term look at how people at Ulster University in Northern Ireland felt about Artificial Intelligence (AI) between 2024 and 2026. The researchers didn't just take a quick photo of what people thought on one day; they took three snapshots over three years, surveying a total of 1,665 people. This group included undergraduate students, PhD researchers (the advanced students), teachers, and non-teaching staff. They asked everyone the same questions about how familiar they were with AI, how much they used it, and whether they trusted it.
Here is the story the data tells:
The Students: From Curious Explorers to Daily Commuters
At the start of the journey in 2024, students were like tourists trying out a new gadget. They were experimenting with AI tools, trying them out tentatively. But by 2026, the vibe had shifted completely. Students had moved from "trying it out" to "using it every day." It became a normal part of their routine, like checking their phone or using a calculator. They stopped seeing it as a novelty and started treating it as a standard tool for their coursework.
However, there was a twist. Even though students were using AI more and more, they didn't necessarily think it was "good and helpful" anymore. In fact, their enthusiasm actually dropped a bit by 2026. It's like when you first get a new video game console and think it's the best thing ever, but after playing it for a year, you realize it has glitches and isn't perfect. Students became more critical. They knew how to use the tools, but they also started noticing the flaws and didn't blindly trust everything the AI produced.
The Teachers and Staff: The Cautious Ride Operators
While the students were zooming ahead, the teachers and staff were walking more carefully. They remained worried about the "ride safety." Their main concerns were about academic honesty (cheating), how to grade assignments fairly, and whether AI was stopping students from thinking for themselves.
Even as time passed, the teachers didn't stop worrying. They saw students using AI constantly, but they didn't trust AI to do the grading themselves. In fact, almost no one—students, teachers, or staff—trusted AI to mark their assignments. They viewed AI as a helpful assistant for brainstorming or drafting, but not as the final judge of a student's work.
The Growing Gap
The most interesting part of the story is the widening gap between the students and the staff. As students got more comfortable and started using AI as a daily habit, the teachers' concerns didn't go away; they stayed strong. It's like a group of kids learning to drive a car on their own, while the parents are still standing by the garage door, worried about the brakes. The students are driving, but the parents are still trying to figure out the rulebook.
The study found that the university's official rules and guidance were struggling to keep up. The rules written in 2024 didn't match the reality of how students were using AI in 2026. The "student practice" (what they actually did) and "staff expectations" (what they thought should happen) were drifting further apart.
What About Training?
The university tried to help everyone learn how to use these tools safely. By 2026, more people had attended training sessions. Students were happy to learn, but as they got more experienced, they actually became less interested in more training. They felt they had already figured it out. Teachers, on the other hand, still wanted more help. They were eager to learn how to handle AI in their teaching and how to spot when students were using it inappropriately.
The Bottom Line
This paper suggests that we can't just treat AI as a one-time event. It's a living, changing thing. The study shows that as people get used to AI, they don't just get happier about it; they get more realistic and sometimes more skeptical. The "normalization" of AI means it's here to stay, but the way we use it needs to be smart and careful.
The researchers conclude that universities need to update their rules constantly, like a video game that gets new patches every month. They need to train teachers not just on how to use AI, but on how to understand that students are already using it in ways the teachers might not expect. If the university wants to keep the ride safe and fun for everyone, the rules need to match the speed of the riders.
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