LEVERAGING AI TO SUPPORT THE TEACHING OF FRENCH IN MULTILINGUAL AFRICAN CONTEXTS: THE ROLE OF AFRICAN LANGUAGES

Abstract

This research explores the role of artificial intelligence (AI) in supporting the teaching of French within multilingual African contexts, with a particular focus on the integration of African languages. The study adopts a mixed-method approach, combining qualitative and quantitative data collection techniques to analyze the potential of AI-driven tools in enhancing language learning. First, a literature review was conducted to understand the current state of AI applications in language learning, focusing on multilingual education systems in Africa, and examining the challenges and opportunities posed by the inclusion of African languages. The second phase involved case studies of existing AI-based language learning platforms such as Duolingo, google translate, and, Masakhane which support both African languages and French. These case studies were used to evaluate the effectiveness of AI in providing contextualized, personalized learning experiences, particularly in regions with diverse linguistic populations. Third, surveys and interviews were conducted with language learners, educators, and AI developers in Nigeria where French is widely studied, learned and spoken by an ever-growing population. These stakeholders provided insights into the practical use of AI tools for French language acquisition alongside native languages such as Hausa, Yoruba, and Igbo. The findings of this research include a comprehensive understanding of how AI tools can promote French language acquisition while respecting linguistic diversity. The study therefore recommends for enhancing AI-driven platforms to better serve multilingual learners, improving educational accessibility, and supporting African languages in the digital era.