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Good practice Imported

Generation AI — Armenia's National AI and Advanced-Mathematics High-School Curriculum

Armenia · Yerevan · See the Armenia profile · See the Yerevan profile

Evidence: Descriptive / self-reported Top 73% 40/100 · Ask Evidence Copilot about this practice

Armenia embeds a free applied-AI, Python and advanced-algebra course directly into public high schools nationwide via FAST and the education ministry; enrollment grew from ~420 students in 15 schools (2023) to ~800 in 26 schools (2025-26), but no independent learning-outcome stud

~420 students
Students enrolled at programme launch (2023)
~800 students
Students enrolled (2025-2026)
14-16 schools
Schools participating at launch (2023)
26 schools
Schools participating (2025-2026)
207 graduates
First-cohort graduates receiving completion certificates (April 2026)
Generation AI — Armenia's National AI and Advanced-Mathematics High-School Curriculum

Details

Maturity
Scaling
Promoter
Foundation for Armenian Science and Technology (FAST), with Armenia's Ministry of Education, Science, Culture and Sports
Period
2023-present
Keywords
AI curriculum, Python, advanced mathematics, public high school, talent pipeline

Context

Since September 2023, Armenia's Foundation for Armenian Science and Technology (FAST) has run Generation AI jointly with the Ministry of Education, Science, Culture and Sports, embedding applied AI, Python and advanced algebra as a mandatory part of the public high-school curriculum (grades 10–12) rather than an after-school elective.

Objectives

The programme's stated goal is to build a national AI and advanced-mathematics talent pipeline, with the ministry targeting expansion to up to 45 schools and over 85% of Armenia's high-school population by 2026–2027.

Activities

The curriculum started in 14–16 schools across all seven of Armenia's regions and expanded to 26 schools for the 2025–2026 academic year, with roughly 800 students currently enrolled, up from about 420 students in 15 schools at launch.

Results

In April 2026 the programme's first cohort — 207 graduates from 14 schools — received completion certificates, and Armenia was the only non-U.S. finalist among 110 applicants at the 2025 ASU+GSV Education Innovation Showcase; however, no randomised or quasi-experimental study of learning gains has been published, and FAST itself cites a shortage of qualified AI/Python teachers as a barrier to further scale-up.

Conclusions

Generation AI shows rapid enrollment growth and international recognition, but Armenian commentators note the ministry's own target implies the programme will reach only 10–15% of students as a selective pipeline rather than a universal AI-literacy initiative, and outcome evidence remains limited to scale and graduation counts.

Implementation

Indicative cost
Medium (€50k–€500k) — National curriculum integration across dozens of public high schools with teacher recruitment/training needs; no public budget figure disclosed.
Time to results
Long (> 3 years) — Multi-year rollout from 2023, expanding through the 2025-2026 academic year with a further expansion target for 2026-2027.
Staffing & skills
Foundation for Armenian Science and Technology (FAST), Ministry of Education, Science, Culture and Sports, school-based AI/Python teachers (in shortage)

Conditions for success

  • Joint ownership by a national foundation and the education ministry embedded the curriculum as mandatory rather than optional
  • Phased regional rollout across all seven regions supported gradual scale-up

Common failure modes

  • FAST itself acknowledges a shortage of qualified AI/Python teachers as a barrier to scale-up
  • No randomised or quasi-experimental evaluation of learning gains has been published
  • Commentators note the ministry's own target implies the programme reaches only 10-15% of students, functioning as a selective pipeline rather than universal access

Where it fits

Governance type
national foundation + ministry of education partnership
Scale
national curriculum rollout across multiple regions
Income level
upper-middle-income (Armenia)

Commonly funded by

National / regional programmes Philanthropic / foundation funding

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Data sources

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