Managers perceive the greatest AI potential in data analytics, document automation, and quality monitoring, and the least in personalization¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? Perceived AI potential was highest for data analytics (61.0%), document automation (58.0%), and quality monitoring (53.4%), and lowest for personalization (29.4%). → 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 analysis of eight binary application-potential items in the survey of 395 education managers; respondents could select multiple applications. The discussion links these priorities to data-driven decision-making and learning analytics.

"Managers perceived the greatest AI potential for data analytics (61.0%), document automation (58.0%), and quality monitoring (53.4%). Lower perceived potential was reported for personalization (29.4%) and risk detection (34.9%)."

Discussion¶

Related Claims¶

• Engineering students perceive AI chatbot benefits as strongest for relief from competence frustration, moderate for autonomy, and weakest for relatedness — related
• Ukrainian education managers' personal AI readiness significantly exceeds their perceived system readiness (d = 0.73) — related
• Regulatory absence and digital competency gaps are the most prevalent barriers to AI adoption among Ukrainian education managers — related