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<p>Artificial intelligence (AI) is increasingly being used in educational settings, but its application in culturally grounded training for small, medium, and micro enterprises (SMMEs) is underexplored. Traditional African games, with their rich cultural and strategic dimensions, provide a unique opportunity for incorporating indigenous knowledge into modern training methods. This study scrutinises the potential of AI in adapting traditional African games for SMME training. It seeks to identify key game components such as resource management, decision-making, financial management and risk assessment that can be strategically repurposed for entrepreneurial education. The study examines ten AI-generated African games, focussing on their rules, mechanics, and cultural relevance, a conceptual framework based on Game Schema Theory was created to help transform these games into AI-enhanced educational tools. The framework was evaluated using a descriptive analysis to understand participants view of the study. The implication of the study is that by using an AI adapted game-based approach for business education, learners would learn how to personalised their study, simulated business scenarios would be provided to assist learning, and there would be real time feedback on learning. By applying culturally relevant AI adaptations, this study connects technology to indigenous knowledge systems, fostering an engaging and context-aware approach to SMMEs education. It helps to advance AI-augmented business training, preserve digital cultural heritage, and shape the landscape of human-AI interaction in gamified learning.</p>

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AI-driven adaptation of local African games for training small businesses

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月11日

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  • Rose Oluwaseun Adetunji,
  • Abejide Ade-Ibijola

摘要

Artificial intelligence (AI) is increasingly being used in educational settings, but its application in culturally grounded training for small, medium, and micro enterprises (SMMEs) is underexplored. Traditional African games, with their rich cultural and strategic dimensions, provide a unique opportunity for incorporating indigenous knowledge into modern training methods. This study scrutinises the potential of AI in adapting traditional African games for SMME training. It seeks to identify key game components such as resource management, decision-making, financial management and risk assessment that can be strategically repurposed for entrepreneurial education. The study examines ten AI-generated African games, focussing on their rules, mechanics, and cultural relevance, a conceptual framework based on Game Schema Theory was created to help transform these games into AI-enhanced educational tools. The framework was evaluated using a descriptive analysis to understand participants view of the study. The implication of the study is that by using an AI adapted game-based approach for business education, learners would learn how to personalised their study, simulated business scenarios would be provided to assist learning, and there would be real time feedback on learning. By applying culturally relevant AI adaptations, this study connects technology to indigenous knowledge systems, fostering an engaging and context-aware approach to SMMEs education. It helps to advance AI-augmented business training, preserve digital cultural heritage, and shape the landscape of human-AI interaction in gamified learning.