Contextualizing Ai In Education: Ethnopedagogy As A Pathway To Inclusive, Transformative And Sustainable Learning

Abstract

The rapid advancement of Artificial Intelligence (AI) in education has significantly transformed teaching and learning processes across the globe. While AI offers promising opportunities such as personalized learning, efficiency, and accessibility, it also raises critical concerns regarding cultural bias, lack of contextual relevance, and the marginalization of local knowledge systems. This study explores the integration of ethnopedagogy as a framework to contextualize AI in education, aiming to foster inclusive, transformative, and sustainable learning environments. Using a descriptive qualitative approach, this paper analyzes existing literature on AI in education and ethnopedagogy to examine how cultural values and local wisdom can be embedded within AI-driven educational systems. The findings suggest that AI, when combined with ethnopedagogical principles, can enhance student engagement, preserve cultural identity, and promote equitable learning opportunities. Furthermore, this integration supports transformative learning by encouraging critical thinking and contextual understanding, while also contributing to sustainability through the preservation and dissemination of indigenous knowledge. However, challenges such as limited local datasets, digital literacy gaps, and infrastructure constraints remain significant barriers. Therefore, collaborative efforts among educators, policymakers, and communities are essential to develop culturally responsive AI systems. This study concludes that contextualizing AI through ethnopedagogy is not only necessary but also strategic in ensuring that technological advances in education remain inclusive, culturally relevant, and sustainable in the long term.