Ukrainian education managers' personal AI readiness significantly exceeds their perceived system readiness (d = 0.73)¶
Claim · All claims
Evidence · 1 study · associationalr1·q2·i2medium
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i2 Personal readiness (M = 3.83) significantly exceeded system readiness (M = 3.15), a 0.68-point gap with a large effect size (d = 0.73). → V.G. Kremen 2026
Evidence¶
V.G. Kremen 2026¶
V.G. Kremen, O.M. Spirin, O.I. Liashenko, S.H. Lytvynova, Y.I. Malovanyi, O.P. Pinchuk, O.M. Sokolyuk, S.O. Semerikov. (2026). AI adoption readiness among Ukrainian education managers: Barriers, typologies, and policy implications. Computers and Education: Artificial Intelligence 11 (2026) 100648. https://doi.org/10.1016/j.caeai.2026.100648
q2 · i2 · associational · r1
Cross-sectional survey of 395 Ukrainian education managers (September 2025) using single-item 5-point Likert measures of personal and system readiness. The Wilcoxon signed-rank test confirmed the "0.68-point mean difference ( 𝑑= 0.73 , large effect)", i.e. an effect size of d = 0.73, between the two readiness dimensions.
"A Wilcoxon signed-rank test for paired samples confirmed that personal readiness significantly exceeded system readiness (𝑊= 3538 , 𝑝 <(.)001 , rank-biserial 𝑟= 0.77 ; 𝑛= 395 ). This 0.68-point mean difference ( 𝑑= 0.73 , large effect)"
Discussion¶
Related Claims¶
- Regulatory absence and digital competency gaps are the most prevalent barriers to AI adoption among Ukrainian education managers — related
- ChatGPT is the most widely used AI tool among Ukrainian education managers (69.4% adoption) — related
- On a common 0–1 metric, digital-competency adequacy shows the largest readiness gap (42.4%), followed by system readiness (21.3%) — related
- Managers perceive the greatest AI potential in data analytics, document automation, and quality monitoring, and the least in personalization — related
- No barrier is necessary and no barrier configuration is sufficient for low AI readiness (fsQCA null result) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
personal-exceeds-system-ai-readiness-gap-managers |
title |
Ukrainian education managers' personal AI readiness significantly exceeds their perceived system readiness (d = 0.73) |
description |
Ukrainian education managers' personal AI readiness significantly exceeds their perceived system readiness (d = 0.73) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — vg-kremen-2026 |
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