Integrating AI in STEM Education in Africa: A Systematic Review of Best Practices and Perspectives

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Systematic review reveals barriers and innovative frameworks for AI in STEM education, suggesting sustainable development pathways.

The review synthesizes 46 studies on artificial intelligence integration in STEM education across Africa's higher education institutions.
Findings indicate infrastructure deficits and insufficient lecturer training as major barriers to effective AI implementation.
Utilizing the PRISMA framework, thematic analysis illuminates patterns of AI adoption through a PESTEL lens.
The study proposes an Africa-centered roadmap for equitable and sustainable AI integration in STEM education, addressing regional disparities.

Tshibangu et al. (2025) studied this question.

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