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Good practice Imported

Impulsemos la Educación del Futuro Juntos — Chile's National AI Certification Pathway for Future Teachers

Chile · Santiago · See the Chile profile · See the Santiago profile

Evidence: Descriptive / self-reported Top 42% 53/100 · Ask Evidence Copilot about this practice

Chile's CENIA, Kodea Foundation and UMCE certified 200 pedagogy students from four universities in a 40-hour AI course, with funded plans to train 75 more lecturers and 3,300+ future teachers across 26 more universities.

200 students
Pedagogy students certified (phase 1) (2025)
Impulsemos la Educación del Futuro Juntos — Chile's National AI Certification Pathway for Future Teachers

Details

Maturity
Pilot
Promoter
CENIA, Fundación Kodea, Ministerio de Ciencia, Tecnología, Conocimiento e Innovación, UMCE
Period
2025-2026
Keywords
teacher education, AI literacy, higher education

Context

In 2025, Chile's National Center for Artificial Intelligence (CENIA), the Ministry of Science, Technology, Knowledge and Innovation, the Kodea Foundation and the Universidad Metropolitana de Ciencias de la Educación (UMCE) launched 'Impulsemos la Educación del Futuro Juntos', a certification pathway to prepare pre-service teachers to integrate AI into their future classrooms.

Objectives

The programme aims to build AI pedagogical competence in pedagogy students before they enter the workforce, and, in a funded second phase, to scale this training to lecturers who would in turn train thousands more future teachers.

Activities

In its first phase, 200 pedagogy students from four universities — UMCE, Universidad del Bío-Bío, Universidad de La Serena and Universidad de Playa Ancha — completed a 40-hour virtual course and received certification. A BHP Foundation-supported second phase plans to train 75 university lecturers, who would in turn train more than 3,300 additional pedagogy students across 26 more universities.

Results

The first phase produced 200 certified pedagogy students; organisers project this cohort will reach over 6,000 schoolchildren once they begin teaching, and the funded second phase projects an indirect reach of more than 100,000 schoolchildren. These reach figures are the programme's own multiplier projections rather than measured outcomes, and no independent assessment of classroom use or pupil learning has been published.

Conclusions

The initiative is a rare example of a national AI institute partnering directly with teacher-training universities rather than only in-service teachers, though its long-term impact depends on an unproven second phase and remains unverified by independent evaluation.

Implementation

Indicative cost
Medium (€50k–€500k) — Public-private partnership funding across CENIA, a government ministry, the Kodea Foundation and a philanthropic grant (BHP Foundation) for phase two; no budget figures were published.
Time to results
Medium (1–3 years) — Phase one ran within the 2025-2026 period; phase two (75 lecturers, 3,300+ students, 26 more universities) is funded but not yet completed.
Staffing & skills
CENIA (national AI institute), Kodea Foundation, Ministry of Science, Technology, Knowledge and Innovation, Universidad Metropolitana de Ciencias de la Educación (UMCE) and three partner universities

Conditions for success

  • Partnership between a national AI institute and teacher-training universities
  • Philanthropic co-funding (BHP Foundation) for the scale-up phase
  • A structured 40-hour certified curriculum embedded in pre-service teacher training

Common failure modes

  • Reach projections rely on an unproven multiplier effect from a small first cohort (200 students) to over 6,000 and eventually 100,000 schoolchildren
  • No mechanism yet described to verify that certified teachers actually apply AI in their classrooms once they begin teaching

Where it fits

Governance type
national government + public-private partnership
Scale
national (pilot spanning 4 of many pedagogy-training universities)
Income level
upper-middle-income

Commonly funded by

National / regional programmes

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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