A Review Of Recent Studies On Artificial Intelligence (Ai) In English Language Learning And Its Implications For Applied Linguistics

Abstract

The rapid development of artificial intelligence (AI) has significantly transformed language learning and teaching practices across the world. Recent advances in AI technologies have created new possibilities for improving English language education and supporting both learners and teachers in diverse learning environments. This review examines recent research on the integration of AI in English language education, with particular attention to its pedagogical benefits, technological applications, and emerging challenges. AI-based tools such as intelligent tutoring systems, automated writing evaluation programs, chatbots, and speech recognition technologies provide learners with personalized feedback, adaptive learning environments, and increased opportunities for autonomous language practice. These technologies enable learners to practice language skills at their own pace and receive immediate feedback, which can enhance engagement, motivation, and overall language proficiency. In addition, AI-driven platforms assist teachers in monitoring student progress, identifying learning difficulties, and designing more effective instructional strategies. Despite these advantages, several challenges remain, including technological limitations, data privacy concerns, ethical issues, and the potential reduction of meaningful human interaction in the learning process. Therefore, this review critically evaluates existing studies on AI-assisted language learning, identifies important gaps in the current literature, and discusses key implications for future research in applied linguistics as well as for language pedagogy in the evolving era of artificial intelligence.