Digital Technologies for the Preservation of Indigenous Knowledge in Inclusive Learning Environments

This study explores the transformative role of artificial intelligence (AI) and digital technologies in preserving Indigenous knowledge and fostering inclusive education. Indigenous knowledge systems, encompassing oral traditions, ecological practices, and cultural rituals, are increasingly endangered by globalization and the erosion of intergenerational transmission. Drawing from case studies, stakeholder interviews, and surveys, the research highlights how AI-driven tools—such as natural language processing (NLP), speech recognition, and culturally responsive learning platforms—are being used to document and revitalize endangered languages and cultural narratives.While 68% of Indigenous respondents found AI useful for knowledge preservation, significant challenges persist, including algorithmic bias, concerns over data ownership, limited internet connectivity (45%), and interface issues (28%). The findings underscore the importance of ethical, inclusive, and community-centered AI development, emphasizing Indigenous self-determination and cultural sensitivity. The study proposes actionable recommendations, including community co-design, investment in infrastructure, promotion of Indigenous data sovereignty, and the integration of oral traditions and Indigenous pedagogies into digital learning environments.The research concludes that AI should not replace traditional knowledge transmission but serve as a complementary tool to support intergenerational learning, cultural pride, and educational equity. Future efforts must prioritize Indigenous leadership and align technological innovations with the values and worldviews of Indigenous communities to ensure sustainable, respectful knowledge preservation