If you have not seen our page on AI Education Equity in LMICs, we highly recommend reviewing it first, as it provides important background before exploring these resources.
This page is not a central resource hub but rather a place to showcase examples of AI literacy learning content that supports students and teachers in their own contexts. Some of these resources are designed to be unplugged, to function in limited resource environments, or to be localized for particular regions and languages.
These resources will continue to evolve, but as long as you remain mindful of your local context and constraints, you will be in a strong position to make meaningful use of them.
Hands‑on, no‑device lessons that teach core AI ideas (classification, training data, bias, decision rules) using paper, cards, and role‑play.
Printable activities and games that simulate training and inference with everyday objects.
Classic unplugged computing adapted to AI concepts. Great for mixed‑ability groups.
When devices or connectivity are limited, use offline‑first curricula and peer‑learning structures.
Offline‑first, mobile‑friendly lessons for students and teachers; designed for low bandwidth.
Curricula adapted to local languages, standards, or policy contexts. Useful for scaling via ministries or NGO networks.
Free K‑12 AI literacy program from MIT; used in 170+ countries; localized implementations
National secondary AI subject with facilitator guides; model for phased adoption (intro → elective).