AI-education and innovation competitiveness: EU moderate innovators
| Author | Affiliation | ||
|---|---|---|---|
Universiteto garbės profesoriai ir garbės nariai | Lietuvos mokslų akademija |
| Date | Volume | Issue |
|---|---|---|
2026 | 20 | 1 |
Purpose. The existing international competency indices fail to capture the structural differentiation in AI-driven educational transformation across EU moderate innovator economies, rendering evidence-based policy design inadequate. Author attempted to evaluate it. Methodology. The simplified multiple criteria assessment methodology based on global and regional expert evaluations of education quality determining knowledge and innovation development was employed. Analyzing the Visegrad Group (Czech Republic, Hungary, Poland, Slovakia) and the Baltic States (Estonia, Latvia, Lithuania) over 2022 - 2025, the study produces three original scientific results. Findings. First, it identifies and empirically documents how the AI integration raises measurable technical skill acquisition by 60–80 percent while simultaneously intensifying demand for metacompetencies - creativity, ethical reasoning, adaptability - that current frameworks cannot reliably assess, generating a 34 percent wage premium for workers combining both (Eurostat LFS, 2022–2024). Second, it provides the first systematic empirical documentation of two distinct regional catch-up trajectories - Digital Leapfrogging (Baltic States: R&D efficiency through knowledge-intensive services, return ratio 7.2:1) and Industrial Deepening (Visegrad Group: AI as manufacturing process optimizer, return ratio 3.8:1) - with quantified efficiency differentials. Third, it validates the Creativity Assessment Framework significantly outperforming GPA-based prediction. The Estonia - Hungary differential in AI integration scores illustrates the compounding consequences of coordinated policy versus governance instability. Originality. Revealed the AI Competency Paradox; proposed Multi-Dimensional Creativity Assessment Framework; systematic documentation of regional innovation strategy divergence. Policy implications address national AI-education coordination, culturally calibrated creativity assessment, and digital diaspora engagement mechanisms.
Universiteto garbės profesoriai ir garbės nariai |
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Intellectual Economics | 3.3 | 0.452 | 0.361 | 2025 | Q1 |