Each finding below carries its basis, its limits and its score on the same rubric.
Field observation · 7 of 10
0 of 3
No trust in our field research could evidence edtech impact centrally
Structured discovery calls with executive leaders across trusts responsible for around 50,000 students, coded from transcripts.
Source: What trust leaders cannot see, Educave Research, June 2026
Field observation · 7 of 10
12+
Disconnected data sources inside a single trust
Counted from system inventories described in the same calls. A floor rather than an estimate, since leaders listed only what they could recall.
Source: What trust leaders cannot see, Educave Research, June 2026
Field observation · 7 of 10
1 term
Typical lag before drift in a school becomes visible at trust level
Reported cadence of pupil progress meetings and trust-level reporting. Consistent across every trust in the sample.
Source: What trust leaders cannot see, Educave Research, June 2026
Practitioner report · 4 of 10
1
An AI tutoring intervention was discontinued after costing more and producing worse outcomes than human tutoring
A single trust's internal comparison, reported to us rather than independently verified. One case, named as one case.
Source: How trust leaders read AI claims, Educave Research, June 2026
Structured observation · 7 of 10
25 sessions
Three tutoring moves recur that no current system performs
Coded analysis of recorded one-to-one expert lessons against a published coding frame.
Source: Human Tutor Intelligence, Educave Research, June 2026