What do students, teachers and tutors actually need from an AI tutoring system? We asked them directly.
Deliverable T4.2 of the HITS Project reports on a Participatory Action Research study exploring the factors that promote, or hinder, pro-digital behaviours in higher education. Instead of only measuring technology use, the research listened to the people who will live with the system every day.
Three groups, three sets of priorities:
- Students want personalised, adaptive tutoring — not one-size-fits-all tools — plus a real voice in shaping the ethical rules that govern it.
- Teachers are open to AI support, but only with transparent, limited data access and a say in any institutional policy that follows.
- Tutors & experts insist the system must know its limits — clear triggers for intervention, and a human to escalate to when it matters.
Across all three groups, one direction emerges: personalisation, human oversight and ethical transparency aren’t competing priorities — they’re the same priority, seen from three different seats at the table.
The full report — including methodology and detailed findings for every stakeholder group — is free to download.