OfS and Advance HE launch AI research, raising the bar for student feedback evidence
Updated Jun 03, 2026
The OfS and Advance HE AI research project matters because it treats AI as a student evidence issue, not only a technology issue. Published on 27 May 2026, the Office for Students announcement says the regulator has launched a survey and a series of staff and student roundtables to understand how universities and colleges are using AI, how it may affect student outcomes, and what students now expect from their institution. For Student Experience teams, PVCs, and quality professionals, that means AI policy will increasingly need a stronger student voice trail behind it.
What has changed in the OfS and Advance HE AI research project
The immediate development is the launch of a shared research exercise between the OfS and Advance HE. The survey is open to senior leaders, academic staff, students, and others with an interest in AI in higher education, and the OfS says responses are due by 10 July 2026. This is not a new mandatory requirement for institutions, but it is a clear signal that the English regulator wants a more structured evidence base on how AI is affecting teaching, learning, and student outcomes.
"This exploratory work will help us understand what is working well, what isn't, and how student expectations are changing in the face of a rapidly evolving technology."
The roundtable design is just as important as the survey itself. The linked event page shows that the OfS and Advance HE will run separate sessions for staff and for students, with in-person events in London on 8 June, Manchester on 9 June, and Bristol on 16 June 2026, followed by online sessions on 3 July and 8 July 2026. The page also says the events will be recorded and that feedback will be considered as part of the research. That matters because the project is not only asking for institutional policy views. It is deliberately gathering direct student and staff perspectives on risks, opportunities, good practice, and barriers to effective adoption.
The source also shows that this is not a one-off intervention. The OfS says the project builds on work it has been doing since early 2025, including roundtables, a student debrief event, and informal conversations with staff and students. It also plans interviews with sector bodies and technology companies. The practical change is that AI evidence gathering is becoming more organised, more multi-source, and more explicitly tied to what students expect from universities.
What this means for institutions
First, universities should treat AI evidence as an operational issue now, not something to tidy up after a pilot has already scaled. The OfS project suggests that sector expectations are shifting from broad discussion about AI to more concrete questions about where it is being used, what risks it creates, what students think is acceptable, and what outcomes institutions can defend. If your institution is already testing AI in assessment or feedback, that sits alongside the lesson from Jisc's AI marking and feedback pilot: gather student views deliberately before AI-supported practice becomes routine.
Second, student evidence on AI will need to be more specific than a general opinion poll. The OfS says it wants to understand the impact of AI on staff and students' work, and what students expect from their institution. In practice, that means institutions should be ready to ask sharper questions about fairness, trust, transparency, guidance, human oversight, and the difference between faster feedback and better feedback. A local AI policy will be much stronger if it is grounded in what students actually say about those trade-offs, not only in what a supplier says a tool can do.
Third, the timing matters. The survey closes on 10 July 2026, and the OfS says it expects to publish findings later in 2026. That gives institutions a relatively short window to organise their own local evidence before sector guidance begins to harden around the findings. The immediate regulatory weight is strongest in England because the OfS is the English regulator, but the involvement of Advance HE means the practical lessons are likely to travel more widely across the sector. The takeaway is straightforward: if AI-related decisions are moving into mainstream governance, student evidence needs to be ready to move with them.
How student feedback analysis connects
This is where student comment analysis becomes more useful. AI-related concerns rarely arrive under one neat heading. Students are more likely to describe unclear boundaries, generic feedback, trust in human judgement, confusion about acceptable use, or inconsistent practice between modules. If institutions cannot separate those themes clearly, they risk treating every AI-related comment as the same problem.
At Student Voice AI, we think the stronger approach is to analyse those comments with the same discipline applied to policy and governance decisions. A documented workflow such as our student comment analysis governance checklist helps teams show who reviewed the evidence, how themes were defined, and what follow-up was agreed. If a university needs to compare AI-related comments across module evaluations, annual surveys, and pilot feedback, Student Voice Analytics can help provide that reproducible local evidence base. The main point is practical rather than promotional: once AI becomes part of mainstream teaching and assessment decisions, qualitative student evidence has to be structured well enough to stand up in the same conversations.
FAQ
Q: What should institutions do now?
A: Review where your institution is already collecting evidence on AI use, whether through module feedback, local pilots, representative forums, or policy consultations. Then decide which questions are still missing, especially around trust, fairness, human oversight, and guidance clarity, and make sure there is a named route from those findings into decision-making before the OfS publishes sector findings later in 2026.
Q: What is the timeline and scope of the OfS and Advance HE AI research?
A: The OfS published the announcement on 27 May 2026. The survey is open until 10 July 2026. Roundtables run from 8 June to 8 July 2026, with separate sessions for staff and for students. The OfS says it expects to publish findings later in 2026. The immediate policy context is England, but the project is being run with Advance HE and addresses issues that many UK institutions are already facing.
Q: What is the broader implication for student voice?
A: The broader implication is that student voice on AI is moving from local experimentation into mainstream evidence gathering. Universities will increasingly need to show not only that they have an AI policy, but that they understand what students expect from it, where risks are surfacing, and how those views have shaped institutional decisions.
References
[Office for Students]: "OfS collaborates with Advance HE to conduct research into how universities and colleges are using artificial intelligence" Published: 2026-05-27
[Office for Students]: "Roundtables: tell us how your institution is responding to AI" Published: 2026-05-27
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