Educave research
Field notes · June 2026

How trust leaders read AI claims

Selective evidence, AI washing, and the human-in-the-loop entry requirement.

Educave Research · 6 min
3
trusts with consistent AI scepticism
1
AI tutoring intervention discontinued after worse outcomes
3
features required before any AI output is trusted
93%
of students in state schools missing project-based learning emphasis

The evidence problem

Leaders do not lack vendor evidence. They lack evidence they can trust. Vendors point to studies that show exactly what they want shown. Peer recommendations carry weight, but those peers may have a beneficial relationship with the supplier.

One leader described the edtech evidence landscape as a minefield. Independent standards exist, but they are not comprehensive enough to rely on for every purchase. Government and NGO evaluations help, yet they are slow and sometimes carry their own conflicts of interest.

Contribute evidence

If your school, trust or product has evidence that tests this piece, send it in. Submissions are anonymised before anything is published.

Contribute evidence
Method and anonymisation

Coded from the same anonymised trust-leader discovery calls. Themes that appeared across multiple conversations are reported; one-off observations are excluded. No trust, school or individual is identified.

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