What they value
Time savings on planning Differentiation support Feedback drafting Administrative efficiency Student engagement tools Personalised learning supportWhat they fear
Students cheating with AI Being replaced Not knowing enough Data privacy breaches Making a mistake and being blamed Inconsistent rulesWhat they value
Getting unstuck on homework Instant feedback Learning at own pace Translation and language help Creative project support Accessible explanationsWhat they fear
Being falsely accused of cheating AI getting their data Unfair rules (teachers can use it, students can't) Becoming dependent AI being wrong but sounding confidentWhat they value
School being proactive Kids learning 21st century skills Personalised support for their child Clear communication from school Preparing for future careersWhat they fear
Not being told what tools are used Children's data being sold Reduced critical thinking Inappropriate content AI replacing teachers School moving too fastWhat they value
Operational efficiency Board-defensible decisions Competitive positioning Evidence-based reporting Staff retention through better toolsWhat they fear
Regulatory exposure (SIC) Reputational damage Board/accreditor scrutiny Losing parental trust Staff misuse causing an incidentWhat they value
Clear approval process Defined vendor DPA requirements Admin-level controls on AI features Documented incident process Shared ownership with leadershipWhat they fear
Shadow IT (tools we don't know about) Vendor lock-in with bad DPAs New AI features auto-activating Being blamed for incidents they didn't control Insufficient budget to manage risk1. Fairness & Consistency
Across all groups, the strongest request was for a clear, consistently applied policy. Perceived double standards (staff can use AI, students cannot; some teachers allow it, others punish it) were the most cited source of frustration.
2. Transparency Before Activation
Parents and students both demanded to know about AI tools before they are activated — not after. [N]% of parents said prior communication was essential for trust.
3. Data Belongs to the School & Family
Across all groups, the assumption was that student data should never leave school control or be used commercially. Awareness that free AI tools may train on user data was low but caused strong concern when raised.
4. Staff Need Training, Not Just Rules
[N]% of staff felt under-prepared. The dominant message was: "Tell us what we can do, show us how to do it safely, and protect us if something goes wrong."