LEVERAGING ARTIFICIAL INTELLIGENCE FOR ADVANCEMENTS IN LANGUAGE LEARNING AND COMMUNICATION: A SYSTEMATIC REVIEW

Abstract

This article provides a systematic review of the development, applications, challenges, and current era of technology prowess of artificial intelligence in communication and language learning. In today's globalized world, AI applications in these fields are rapidly advancing, especially in support of cross-cultural communication. Based on a synthesis of 31 selected articles from major academic databases, this study examines AI technologies such as chatbots, large language models, and conversational AIs, which enable adaptive, personalized language learning experiences. The study attaches a Systematic Literature Review approach to capture trends, assess the effectiveness, and address challenges associated with AI in communication and language education. Findings reveal that AI significantly enhances language learning through direct interactions and tailored feedback, although challenges persist, including concerns around academic integrity, potential bias, and data privacy. The study also underscores the need for stronger integration of AI tools within language curricula to ensure sustainable learning. Future AI development is anticipated to prioritize personalized learning, mobile applications, and the seamless incorporation of AI into formal instruction to overcome current limitations and foster innovation in language education