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Good practice Imported

LEARN on.AI — Devbridge Foundation's AI Maths Tools for Lithuania's Regional Schools

Lithuania · Vilnius · See the Lithuania profile · See the Vilnius profile

Evidence: Descriptive / self-reported Top 47% 53/100 · Ask Evidence Copilot about this practice

A Lithuanian philanthropic foundation supplied AI-powered adaptive maths platforms to regional schools outside Vilnius, reaching over 13,000 students and training 1,000+ teachers in 2025-26, with funded plans to reach 20,000+ students and about 70 schools in 2026-27.

13,000+
Students reached (2025-26 school year)
1,000+
Teachers trained (2025-26 school year)
44
Cities and regions reached (2025-26 school year)
20,000+
Licences supplied (by mid-2026)
100,000 EUR
2026-27 funding commitment
LEARN on.AI — Devbridge Foundation's AI Maths Tools for Lithuania's Regional Schools

Details

Maturity
Scaling
Promoter
Devbridge Foundation
Period
2025-2027
Keywords
K-12 education, EdTech, mathematics, philanthropy

Context

Lithuania ranks 20th in the EU on PISA maths while neighbouring Estonia ranks 1st; only about a third of Lithuanian teachers know how to use AI tools and 57% of teachers are over 50 — a generational and skills gap the Devbridge Foundation set out to address by supplying AI tools specifically to schools outside the capital.

Objectives

Devbridge Foundation (established 2023 by the co-founders of the Devbridge IT-services company, with a $10 million endowment) launched 'LEARN on.AI' to give free licences for AI-powered maths tools to regional schools, aiming eventually to help Lithuania reach 1st place in Europe on PISA maths by 2028.

Activities

The Foundation partnered with three Lithuanian EdTech startups — EditAI, Alfa Erdve (grades 5-12 maths) and Eliceyus (grades 5-12 personalised learning) — to give free licences to regional schools. For 2026-27 the Foundation has committed 100,000 euros to expand the programme.

Results

In the 2025-26 school year the programme reached over 13,000 students and more than 1,000 teachers across 44 Lithuanian cities and regions, and had supplied more than 20,000 licences for AI-powered maths tools by mid-2026. The 2026-27 commitment targets roughly 70 schools and over 20,000 students.

Conclusions

Independent verification of learning-outcome gains, as opposed to reach and licence counts, is not yet published, so the practice is evidenced mainly on adoption and teacher-training scale rather than on measured attainment impact. The Foundation's long-term (2030) ambition is AI tools in every Lithuanian classroom.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
Devbridge Foundation programme team, Three partner EdTech startups: EditAI, Alfa Erdve, Eliceyus

Conditions for success

  • Free licences removing cost as a barrier for regional schools
  • Explicit targeting of schools outside Vilnius to close the urban-rural and teacher-age AI-skills gap
  • Multi-year funding commitment (EUR100,000 for 2026-27) from a $10 million foundation endowment

Common failure modes

  • No independent verification of learning-outcome gains yet published; reach and licence figures are self-reported by the funding foundation
  • The 2030 'every classroom' and 2028 PISA-first ambitions remain aspirational, unfunded targets

Commonly funded by

Philanthropic / foundation funding

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

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Data sources

Where this practice's information was retrieved from, and when.

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