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Good practice Imported

Italy's National AI-in-Schools Guidelines — From a 15-School Pilot to Ministerial Decree No. 166

Italy · Rome · See the Italy profile · See the Rome profile

Evidence: Descriptive / self-reported Top 46% 53/100 · Ask Evidence Copilot about this practice

Italy's education ministry piloted AI assistants in 15 schools across four regions from Sept 2024, tracked via INVALSI tests, trained teachers via 5,760+ PNRR-funded courses, then codified ethics principles in national guidelines (Decree No. 166, Aug 2025).

15 schools
Schools in initial pilot (Sept 2024)
5,760+ courses
Teacher-training courses delivered (PNRR-funded) (2024-2025)
4 regions
Regions covered by pilot (Sept 2024)

Details

Maturity
Pilot
Promoter
Ministero dell'Istruzione e del Merito (MIM)
Period
2024–2025
Keywords
K-12 education, AI governance, data protection, teacher training

Context

In September 2024 Italy's Ministry of Education launched a pilot introducing AI virtual assistants into 15 schools across Calabria, Lazio, Lombardia and Tuscany, comparing INVALSI standardised test results between AI-assisted and traditional control classes. Building on the pilot and input from Italy's data-protection authority, the Ministry issued national guidelines for AI in schools (Ministerial Decree No. 166, 9 August 2025) covering ethical, technical and regulatory principles for schools, teachers, students and families.

Activities

More than 5,760 teacher-training courses on classroom AI use were delivered nationwide using PNRR (EU recovery-plan) funding, alongside development and eventual national issuance of the AI-in-schools guidelines.

Conclusions

The guidelines are non-binding recommendations rather than enforceable law, and the ministry has not published disaggregated INVALSI results comparing pilot and control classes, so the evidence base remains process-level rather than a peer-reviewed learning-outcome study.

Implementation

Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Ministry of Education (MIM) central team, Garante per la Protezione dei Dati Personali (data protection authority) advisory input, PNRR-funded teacher trainers running 5,760+ courses nationwide

Conditions for success

  • National PNRR funding stream to scale teacher training
  • Data-protection authority involvement in drafting ethical guidelines
  • Comparison design (AI-assisted vs control classes) built into the original pilot

Common failure modes

  • Guidelines remain non-binding recommendations with no enforcement mechanism
  • Disaggregated pilot results were never published, limiting evidence transparency

Where it fits

Governance type
national government
Scale
national (15-school pilot underpinning national guidance)
Income level
high-income

Commonly funded by

National / regional programmes Recovery and Resilience Facility (national plans)

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

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