Artificial Intelligence Tools in Tamil Language Teaching and Learning

Abstract

Artificial Intelligence (AI) has increasingly influenced language education by reshaping instructional practices, assessment methods, and learner engagement. In the context of Tamil language teaching and learning, the integration of AI remains an emerging yet underexplored area, particularly for a linguistically complex and comparatively low-resource language. This study reviews recent scholarly literature to examine the benefits and challenges associated with the use of AI tools in Tamil language education. A systematic literature review was conducted on studies published between 2021 and 2025 using major academic databases, following a structured screening and selection process. The findings indicate that AI tools contribute positively to personalized learning, learner engagement, writing development, accessibility, and assessment efficiency in Tamil language instruction. However, significant challenges persist, including limited availability of high-quality Tamil linguistic datasets, inadequate technological infrastructure, insufficient teacher preparedness, and ethical concerns related to bias, data privacy, and academic integrity. This review highlights the need for localized AI development, targeted professional training for educators, and coherent policy frameworks to support sustainable AI integration in Tamil language education. The study provides a consolidated understanding of current trends and identifies directions for future research and policy development.