Different expectations among staff and students
From the early edition, with research available through September 12, 2026 (UTC).
Students were more positive about AI than staff, while staff expertise and perceived uses varied. Student uses centered on language improvement and text production; appropriate academic use remained ambiguous.
Why it matters for leaders
Discuss concrete assignments with teachers and students to establish shared expectations. Recheck local understanding as tools change, rather than relying on a one-time AI orientation.
The evidence
Surveys collected in April-June 2024 included 86 complete student responses and 45 complete academic responses, with additional partial responses and two teaching assistants. Most responding students were postgraduates.
Who was studied
One UK university: indirect K-12 implications
What the evidence cannot tell us
Low participation and self-selection limit representativeness. These are perceptions from 2024, not current adoption rates or measured learning outcomes. Different performance-expectation scales constrain direct staff-student comparisons.
Read the original sources
Summary and leadership analysis from the September 6–13, 2026 brief. The edition’s selection notes explain source access and evidence limitations.