Artificial Intelligence in Sub-Saharan Africa - Education Report

The notion of using technology to improve education has been around for decades. With the advent of AI, that prospect has become even greater. In some regions, however, it could become an essential tool.

Sub-Saharan Africa has an average primary school class size of 40+ students, nearly twice the global average, and many students lack basic educational necessities like textbooks and teachers. With limited resources, overwhelmed teachers are unable to provide personalised attention, and only 24% of secondary school teachers are trained to use digital tools.

Innovative AI technologies are breaking down barriers by offering personalised, scalable and localised learning solutions that can function even in resource-constrained environments. AI is also enabling adaptive learning systems, intelligent tutoring and multilingual education tools that support both students and teachers.

In light of infrastructural and readiness hurdles, this report explores the possibilities and obstacles of AI adoption in African education in six countries: Ghana, Nigeria, South Africa, Rwanda, Togo, and Kenya. The research also references other African examples where relevant. The sum of this work: a roadmap for policymakers, educators, and private sector partners to harness AI to realise a future where every African student has access to high-quality education.