Regulatory absence and digital competency gaps are the most prevalent barriers to AI adoption among Ukrainian education managers¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
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
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q2 i? Regulatory absence (58.5%) and digital competency gaps (53.9%) were reported more often than AI distrust (44.8%) and resistance to change (24.6%). → 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 · i? · associational · r1
Descriptive prevalence analysis of four binary barrier items in the survey of 395 education managers, with 95% confidence intervals. The authors note the hierarchy "regulatory > competency > distrust > resistance" suggests systemic and skill-related barriers outweigh attitudinal ones.
"Regulatory absence was the most frequently cited barrier (58.5%, 95% CI [53.6%, 63.2%]), followed by digital competency gaps (53.9%, 95% CI [49.0%, 58.8%]). AI distrust affected 44.8% of respondents, while resistance to change was reported by 24.6%."
Discussion¶
Related Claims¶
- Curiosity is the primary driver and mistrust of accuracy the primary barrier to LLM adoption for learning — related
- No barrier is necessary and no barrier configuration is sufficient for low AI readiness (fsQCA null result) — related
- Ukrainian education managers' personal AI readiness significantly exceeds their perceived system readiness (d = 0.73) — related
- Latent Class Analysis identifies six provisional manager typologies with heterogeneous readiness and barrier profiles — related
- On a common 0–1 metric, digital-competency adequacy shows the largest readiness gap (42.4%), followed by system readiness (21.3%) — related
- College leaders identify educator unfamiliarity with GenAI, lack of training infrastructure, and institutional unpreparedness as key challenges — related
- Managers perceive the greatest AI potential in data analytics, document automation, and quality monitoring, and the least in personalization — related
- Ukrainian educators show high AI adoption (84%) but only 11% can identify specialized AI services beyond ChatGPT — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
regulatory-absence-competency-gaps-top-barriers-managers |
title |
Regulatory absence and digital competency gaps are the most prevalent barriers to AI adoption among Ukrainian education managers |
description |
Regulatory absence and digital competency gaps are the most prevalent barriers to AI adoption among Ukrainian education managers |
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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