Author
Listed:
- Akinfolarin Seun
- Abisoye Ajayi
- Thomas Jerome Yeboah
- Samuel Darkey Ofori
- Ruth Adesola Elumilade
- Adeniyi Adebowale Apelehin
- Dennis Edache Abutu
- Mforchive Abdoulaye Bobga
Abstract
Africa’s education systems face chronic challenges of access, equity, quality, and relevance, exacerbated by underfunding, insecurity, governance failures, and structural inequalities. Traditional interventions have yielded incremental progress, yet millions of children remain out of school, and most learners fail to achieve foundational literacy and numeracy. In this context, PearlAI is proposed as a non-profit, open-source framework designed to leverage artificial intelligence (AI) to systematically address the perennial barriers facing education in Africa. The PearlAI Framework integrates six solution domains: Access & Equity, Teacher Workforce, Literacy & Numeracy, Curriculum & Relevance, Assessment & Evaluation, and Student Engagement & Motivation. Grounded in academic literature on mother-tongue instruction, formative assessment, retrieval practice, culturally responsive pedagogy, and AI-driven feedback systems, PearlAI provides both a comprehensive toolkit for system-wide adoption and modular tools for context-specific deployment. This paper synthesizes evidence from African and global education research to articulate the design principles, operational model, and impact pathways of PearlAI. The framework aims to democratize access to AI, improve learning outcomes, and foster innovation across African schools while contributing globally to open educational technologies.
Suggested Citation
Akinfolarin Seun & Abisoye Ajayi & Thomas Jerome Yeboah & Samuel Darkey Ofori & Ruth Adesola Elumilade & Adeniyi Adebowale Apelehin & Dennis Edache Abutu & Mforchive Abdoulaye Bobga, 2024.
"The PearlAI Framework: Leveraging Artificial Intelligence to Transform Education in Africa,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(3), pages 1120-1132, June.
Handle:
RePEc:jbh:ijsrcs:v10:y2024:i3:id:1823
DOI: 10.32628/CSEIT25113581
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25113581
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