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Good practice Imported

STEPS — AI-Assisted Science Curriculum Cuts Development Costs 70% for Benin's Primary Schools

Benin · Porto-Novo · See the Benin profile · See the Porto-Novo profile

Evidence: Descriptive / self-reported Top 28% 60/100 · Ask Evidence Copilot about this practice

STEPS paired AI drafting and translation with human review to build primary science textbooks in French and Fon, cutting development time and cost by up to 70%; Benin's Ministry of Education has begun formally reviewing the materials for national use.

up to 70 %
Development cost/time reduction vs conventional methods (2021–2023)
28 textbooks/workbooks
Science textbooks and workbooks produced (n/a)
52 workbooks/guides
Culturally adapted workbooks and teacher guides (n/a)
6,000+ students
Students reached (end of initial phase)
160+ teachers
Teachers reached (end of initial phase)
18 schools
Schools reached (end of initial phase)
101 schools (all DRC partner schools)
DRC schools expanded to (n/a)

Details

Maturity
Scaling
Promoter
Frank Foundation / NextGenU.org (STEPS project), with GPE-KIX (IDRC) support
Period
2021–2023
Keywords
curriculum development, teacher professional development, primary education, open educational resources

Context

Launched in 2021 with support from the Global Partnership for Education's Knowledge and Innovation Exchange (GPE-KIX, managed by Canada's International Development Research Centre), the STEPS project set out to close a persistent gap in primary science teaching materials across Benin, Cameroon and the Democratic Republic of Congo. Implemented by the Frank Foundation and NextGenU.org together with national partners, the project combined generative-AI drafting and translation with mandatory human review by curriculum specialists to produce culturally relevant, curriculum-aligned science textbooks and teacher guides.

Activities

The AI-assisted workflow — drafting initial content against national curriculum requirements, proposing locally relevant examples, and supporting translation and localisation — reduced content development time and cost by up to 70% compared with conventional production methods, according to the implementing partners. The project produced 28 science textbooks and workbooks plus 52 culturally adapted workbooks and teacher guides, translated into French and, in Benin, the local Fon language.

Results

By the end of the initial phase the materials had reached over 6,000 students and 160 teachers across 18 schools. In Benin specifically, the Ministry of Education initiated formal procedures to authorise the STEPS science textbooks for national use — a stronger uptake signal than the pilot-only status typical of many donor-funded EdTech projects. Partners in Cameroon and DR Congo have taken similar or further steps, with the DRC partner expanding the material to all 101 of its schools.

Conclusions

Published figures on cost and time savings come from the implementing partners rather than an independent audit, and no student learning-outcome data (test scores, retention) has yet been published — the evidence to date documents production efficiency and institutional uptake, not classroom learning impact.

Implementation

Indicative cost
Low (< €50k) — Implementing partners report the AI-assisted workflow cut content development time and cost by up to 70% versus conventional production methods; no independent audit of these figures has been published, and no absolute budget figure is available.
Time to results
Short (< 1 year) — The initial project phase ran 2021–2023, after which Benin's Ministry of Education began formal national-authorisation procedures and the DRC partner expanded to all 101 of its schools.
Staffing & skills
Frank Foundation, NextGenU.org, National curriculum specialists (mandatory human reviewers of AI-drafted content), GPE-KIX / Canada's International Development Research Centre (IDRC, funder), Ministry of Education, Benin

Conditions for success

  • Mandatory human review of every AI-drafted item by curriculum specialists before use, not fully automated publishing.
  • Translation and localisation into local languages (Fon in Benin) alongside French.
  • Early engagement with national ministries to pursue formal authorisation rather than staying a standalone donor pilot.

Common failure modes

  • Cost and time-savings figures come from the implementing partners rather than an independent audit.

Commonly funded by

Philanthropic / foundation funding

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Data sources

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