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This study maps and synthesises two adjacent bodies of literature—research on ethnomathematics and culturally responsive mathematics instruction focused on Akan cultural practices, and research on artificial intelligence (AI) in mathematics education—to propose a culturally responsive, AI-supported instructional framework for Ghanaian classrooms. A systematic scoping review was conducted following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) and PRISMA 2020 flow conventions. Six databases were searched for records published between 2005 and 2025, supplemented by hand-searching. AI was operationalised broadly, from intelligent tutoring and adaptive learning systems to generative AI from late 2022 onwards. Of 612 records, 25 studies were retained for qualitative thematic synthesis. The synthesis indicates that kente weaving, Adinkra symbolism, market transactions, and drumming patterns encode mathematical ideas such as symmetry, proportion, sequence, and logical reasoning. The AI-focused studies, most of which predate generative AI, suggest that these tools can support personalised, interactive, and contextualised learning. No included study combines the two strands in the Akan context; this absence is a central finding and motivates the proposed framework. Blending ethnomathematics with AI is associated with greater cultural relevance, engagement, and conceptual clarity, although digitising Indigenous knowledge raises ethical questions of ownership, representation, and community consent.
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Addae et al. (2026) studied this question.
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