Artificial Intelligence (AI) in Multilingual Education: Investigating Its Potential in Supporting the Preservation and Instruction of Indigenous Languages in Formal Education

Abstract

Linguistic diversity is a fundamental aspect of human civilization, but many indigenous languages are at risk of extinction due to inadequate formal education and preservation efforts. In multilingual societies, especially in African countries, the decline of indigenous languages threatens cultural heritage and identity. This study examines the role of artificial intelligence (AI) in supporting the preservation and teaching of indigenous languages within formal education systems. The research explores how AI technologies such as Language Learning Applications (LLA), Speech Recognition (SR), and Machine Translation (MT) can contribute to the revitalization of endangered languages, promote linguistic diversity, and ensure cultural sustainability in educational contexts. The study highlights the potential of AI in overcoming barriers like limited resources and access to instructional support, while also addressing challenges related to technological limitations, cultural sensitivity, and unequal access to technology. It emphasizes the need for collaboration among policymakers, educators, technologists, and indigenous communities to create AI solutions that are effective and culturally appropriate. The findings offer valuable insights into the intersection of AI and multilingual education, proposing actionable strategies to preserve and promote indigenous languages for future generations.