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All Journal Artificial Intelligence in Lifelong and Life-Course Education
Jeketule Soko
The Open University of Kenya
Computer Science & IT Education Social Sciences Other

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Artificial Intelligence and Refugee Education in Africa: A Scoping Review of Adaptive Learning, Digital Inclusion, and Educational Continuity Jeketule Soko
Artificial Intelligence in Lifelong and Life-Course Education Vol 1 No 2 (2026): Artificial Intelligence in Lifelong and Life-Course Education
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aillce.v1i2.69

Abstract

Purpose – This study maps the application, discussion, and theorization of artificial intelligence (AI) in refugee education across Africa, with particular attention to adaptive learning, multilingual communication, digital inclusion, educational continuity, and ethical governance. It addresses the limited empirical evidence connecting AI-enabled education directly with African refugee contexts.Methodology – A scoping review was conducted using the PRISMA-ScR and Population–Concept–Context frameworks. The search covered eight academic databases and selected grey literature sources. Of the 3,847 records identified, 2,644 were screened, 353 underwent full-text assessment, and 46 sources were included in the final thematic synthesis.Findings – The evidence clustered around four themes: adaptive learning and educational continuity, multilingual AI and communication, digital inclusion and infrastructural inequality, and ethical governance. However, no included study provided direct empirical evidence evaluating AI-enabled systems specifically for refugee learners in Africa. Much of the evidence remains adjacent, and several initiatives described as AI-supported are more accurately characterized as digital learning platforms.Limitations – The review did not formally appraise source quality, and non-English and country-specific evidence may have been underrepresented. The limited number of refugee-led, Africa-centered, and longitudinal studies constrains claims about effectiveness.Originality – This study clarifies the boundary between AI-enabled and broader digital education and positions AI-supported refugee education as a rights-sensitive socio-technical intervention requiring infrastructure, multilingual design, teacher support, and accountable governance.
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