Culturally Responsive AI in Education: Merging Local Wisdom with Technological Innovation

Abstract

This study aims to explore the challenges and opportunities involved in merging AI technology with traditional knowledge systems, emphasizing the significance of cultural context in educational content. The research employs a literature review methodology to examine existing studies and theoretical frameworks related to AI in education, local wisdom, and their intersection. Findings suggest that while AI technologies face challenges in accurately representing complex cultural values and practices, they offer unique opportunities to preserve and promote indigenous languages, knowledge, and values. AI can also facilitate personalized learning experiences that reflect students’ cultural identities, enhancing engagement and learning outcomes. However, careful design and collaboration with cultural experts are crucial to avoid cultural misrepresentation and bias in AI algorithms. The study concludes that integrating local wisdom into AI curricula can create a more inclusive, culturally sensitive educational system that honours both technological innovation and cultural diversity