Artificial Intelligence in Language Education: A Systematic Review of Trends, Tools, and Challenges

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has significantly influenced language education, offering innovative tools that enhance both teaching and learning experiences. This systematic review investigates how AI has been applied in language education, with a focus on emerging trends, widely adopted tools, and key implementation challenges. Based on studies published between 2010 and 2025, 35 peer-reviewed articles were analyzed using predefined inclusion criteria across major academic databases. The study is grounded in the framework of AI-assisted learning, emphasizing autonomous, adaptive, and interactive language acquisition. Findings reveal that AI applications such as chatbots, automated writing assessment systems, and speech recognition tools are increasingly used across language skill instruction. However, challenges persist, including issues of technological accessibility, teacher preparedness, and ethical considerations. This review offers a comprehensive overview of AI’s role in modern language education and identifies critical gaps for future research and pedagogical development.