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Good practice Imported

CodeBrave × UNICEF — AI, Robotics and Coding for Lebanon's Public Schools

Lebanon · Beirut · See the Lebanon profile · See the Beirut profile

Evidence: Descriptive / self-reported Top 43% 53/100 · Ask Evidence Copilot about this practice

CodeBrave, funded by Germany's KfW via UNICEF Lebanon, brought coding, robotics, AI and machine learning to Lebanese public schools, scaling from 1,006 students in 2023 to 2,888+ in 2024 across 25-26 schools, and trained 64 teachers to sustain the programme.

1,006
Students enrolled, 2023
2,888+
Students enrolled, 2024 (2024)
25
Schools reached, 2024/25 (2024/25 school year)
8
Governorates reached
64
Teachers trained via shadowing
20,000 children
2027 target reach
CodeBrave × UNICEF — AI, Robotics and Coding for Lebanon's Public Schools

Details

Maturity
Scaling
Promoter
CodeBrave / UNICEF Lebanon
Period
2023-2025
Keywords
education, edtech, nonprofit, ICT, youth skills

Context

CodeBrave, a Lebanese tech-education non-profit, partners with UNICEF Lebanon and the German government's KfW Development Bank to bring coding, robotics, artificial intelligence and machine-learning instruction into Lebanese public schools.

Objectives

Students build hands-on prototypes — from smart-agriculture sensors to simple games — as part of the curriculum, with a stated goal of reaching 20,000 disadvantaged children with tech skills by 2027.

Activities

The programme reached 25 public schools across eight governorates in the 2024/25 school year. Sixty-four public-school teachers shadowed the programme's delivery so that they, rather than only CodeBrave staff, can carry the curriculum forward in future years.

Results

Enrolment scaled from 1,006 students in 2023 to over 2,888 students at 26 schools in 2024, reaching more than 3,000 students in total across 25 schools in the 2024/25 school year.

Conclusions

No independent, peer-reviewed evaluation of learning outcomes has been published; the growth figures come from the organisation's own impact reporting rather than a third-party assessment, so evidence here reflects reach and continuity rather than proven learning gains.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)
Staffing & skills
CodeBrave programme staff, 64 public-school teachers who shadowed delivery to sustain the curriculum independently

Conditions for success

  • KfW Development Bank funding channelled via UNICEF Lebanon
  • Teacher-shadowing model designed for continuity beyond CodeBrave staff
  • Hands-on, prototype-based curriculum (smart-agriculture sensors, simple games)

Common failure modes

  • No independent, peer-reviewed evaluation of learning outcomes has been published
  • Growth figures come from the organisation's own impact reporting rather than a third-party assessment

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

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Attachments

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