Multidimensional Applications of Large Language Models in College English Teaching

Abstract

Large language models, particularly those based on deep learning and natural language processing technologies, such as GPT-3 and its successors, are rapidly transforming the landscape of English language teaching in China. These models not only offer instant feedback and personalized learning experiences but also enhance English teaching comprehensively through various means, including generating rich textual resources, simulating conversational partners, and assisting teachers in lesson preparation. This study aims to explore the multidimensional applications of large language models in English teaching, encompassing their specific roles in listening, speaking, reading, and writing, the promotion of students' autonomous learning abilities, and the improvement of teaching efficiency and effectiveness. By synthesizing current research findings and practical cases, we identify the advantages, challenges, and future directions of applying large language models in English teaching, providing insights for educators and researchers.