evidoria

← Back to browse

Good practice

National AI Campaign — Mongolia's Nationwide AI Teacher-Training Drive Across All 21 Provinces

Mongolia · Ulaanbaatar · See the Mongolia profile

AI Academy Asia's five-year National AI Campaign, backed by UNICEF Mongolia, M Bank and Golomt Bank, has trained 1,000 teachers as AI trainers from all 21 provinces and 330 soums since April 2025, including a dedicated 100-girl, 100-female-teacher track.

1000 teachers trained as AI trainers
AI trainers trained (documented total) (by May 2026)
500 teachers
First cohort graduates (22-23 Aug 2025)
3998 applicants (500 selected)
Second cohort applicants (Feb 2026 cohort)
21 of 21 aimags, 330 soums, 9 districts
Provinces (aimags) covered
100 female teachers + 100 girls
AI for Women 100x100 track participants (2025)
2500 AI specialists + teachers (250 + 2,250)
Programme target (5-year goal) (2025-2030 target)
>10000 students in rural/local communities (stated goal, not a measured outcome)
Student reach goal

Details

Maturity
Scaling
Promoter
AI Academy Asia
Period
2025–2030 (ongoing); 1,000 teachers trained by May 2026
Keywords
AI literacy, teacher training, digital inclusion, gender equity, rural education

Context

AI Academy Asia launched Mongolia's National AI Campaign on 15 April 2025, a five-year (2025-2030) initiative backed by UNICEF Mongolia, M Bank and Golomt Bank, with the International Telecommunication Union's AI Skills Coalition also named as a partner. The campaign's stated goal is to train 250 AI specialists and 2,250 teachers — 2,500 professionals in total — to promote inclusive access to AI education and reduce Mongolia's digital divide.

Activities

The flagship 'Local AI Teachers' track ran the 'Train 500 AI Teachers' programme for two consecutive annual cohorts. The first 500 teachers graduated on 22-23 August 2025 after training that brought together educators from all 21 aimags (provinces), 330 soums and 9 districts. A second 500-teacher cohort launched on 28 February 2026, selected from 3,998 applicants. A parallel 'AI for Women 100x100' track, also backed by Golomt Bank, trained 100 female teachers and 100 girls in 2025.

Results

The documented total reached 1,000 AI trainers by May 2026. Golomt Bank set a goal for these teachers to reach over 10,000 students in rural and local communities, though this is a stated target rather than a measured outcome. The campaign publishes reach and training-completion figures rather than independent learning-outcome evaluations: it promises an annual 'Impact Report' each December, but no publicly available student-learning results had appeared as of mid-2026.

Conclusions

Funding and governance are led by a private academy and corporate bank sponsors, with UNICEF Mongolia in an advisory/collaborative role rather than as a primary funder — a governance structure worth noting for anyone assessing sustainability beyond the initial five-year commitment.

Implementation

Indicative cost
Medium (€50k–€500k) — No specific budget figures are published in available sources; the campaign is financed by AI Academy Asia together with corporate sponsors M Bank and Golomt Bank.
Time to results
Long (> 3 years) — Five-year roadmap (2025-2030) run in annual cohorts; documented progress reached 1,000 trainers via two cohorts (Aug 2025 and Feb 2026 launch).
Staffing & skills
AI Academy Asia trainers/curriculum staff, corporate sponsor partners: M Bank, Golomt Bank, UNICEF Mongolia (advisory/collaborative role), ITU AI Skills Coalition (named partner)

Conditions for success

  • competitive selection process to identify committed teacher-trainees (3,998 applicants for 500 places in the second cohort)
  • sustained multi-year corporate sponsorship across the full 2025-2030 roadmap
  • coverage across all 21 provinces and 330 soums to reach rural areas

Common failure modes

  • governance and funding rest primarily on a private academy and corporate bank sponsors rather than government or UNICEF as primary funder, raising sustainability risk beyond the initial five-year commitment
  • no independent learning-outcome evaluation published as of mid-2026, so downstream classroom/student impact is unverified

Where it fits

Governance type
private academy + corporate sponsors, with UN agency in advisory role
Scale
national (all 21 provinces, 330 soums, 9 districts)
Income level
lower-middle-income (Mongolia)

Data sources

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

Similar practices you may find useful