AI Readiness in Spanish Secondary and Vocational Schools, 2024-2025

During the 2024-2025 academic year, data on institutional AI readiness were gathered from 80 educational centers across 14 Spanish autonomous communities. The dataset, created by Natalia Lara Nieto-Márquez, captures two dimensions: institutional policies and technological resources, validated via factor analysis. Results reveal moderate overall readiness with pronounced differences between school types and modalities.

Use Cases

• Benchmarking AI policy development across school types based on the described institutional policies dimension.
• Analyzing disparities in technological capacity for AI between public, private, and adult education centers.
• Modeling the relationship between ethical awareness and formal policy support as suggested by the study's results.
• Developing targeted intervention strategies for schools based on identified structural vulnerabilities.

Strengths

• Data from 80 centers representing diverse ownership types (public, state-funded private, fully private) and educational modalities.
• Instrument validated with strong psychometric properties (CFI = .955; TLI = .938; Cronbach's α ≥ .86).
• Covers 14 Spanish autonomous communities, providing a broad geographic sample within the country.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The 668.4 KB file size suggests a limited scope, likely containing summary or instrument data rather than extensive raw responses.
• Data may reflect bias inherent to the specific collection method via pre-service teachers and school leadership teams.

Provenance

Source

Natalia Lara Nieto-Márquez via figshare

Collection Method

Data gathered via an online questionnaire administered by pre-service teachers consulting school leadership teams.

Time Range

2024-2025 academic year

Freshness

Last updated 2026-04-28 07:26:16; freshness should be verified.

Geography

Spain (14 autonomous communities)