A Review of the Applications of Large Language Models in Language Teaching

Abstract

The development of generative artificial intelligence has driven the widespread application of large language models (LLMs) in the field of education. However, research on their use in language teaching lacks a systematic summary. This study employs a systematic literature review methodology, selecting 57 relevant articles from the CNKI and Web of Science core collections. The findings reveal that LLMs can assist teachers in designing instructional tasks, generating educational resources, and reducing their teaching workload. Additionally, LLMs demonstrate significant advantages in supporting language learners with speaking and writing practice, personalized tutoring, and autonomous learning. For educational administrators, LLMs contribute to optimizing educational decision-making and promoting educational equity, thus providing more learning opportunities for disadvantaged groups. Nevertheless, their application also raises concerns such as academic integrity and over-reliance, highlighting the need for educators and administrators to possess adequate technical literacy to address these challenges.