Academic English Teaching Model Driven by the Integration of Corpus and Artificial Intelligence

近年来，语料库语言学的兴起为学术英语教学提供了数据驱动的学习方法，而人工智能技术的发展进一步拓展了教学创新的可能性。本文旨在探讨如何通过语料库数据驱动与人工智能技术的结合，构建一种新型的学术英语阅读与写作教学模式，以提升学生的学术英语阅读和写作能力。本文首先分析了语料库数据驱动学习的优势和人工智能技术在学术英语写作教学中的应用潜力。在此基础上，构建了基于语料库与AI融合驱动的学术英语阅读与写作教学模式，强调AI与学生、教师和语料库之间的互动。最后，本文指出了该模式在实际应用中面临的挑战，并提出了相应的应对策略。In recent years, the rise of corpus linguistics has provided a data-driven approach to academic English teaching, while the development of artificial intelligence technology has further expanded the possibilities for teaching innovation. This paper aims to explore how the combination of corpus data-driven methods and artificial intelligence technology can be used to construct a new academic English reading and writing teaching model, in order to enhance students’ academic English reading and writing abilities. First, the paper analyzes the advantages of corpus data-driven learning and the potential applications of artificial intelligence technology in academic English writing instruction. Based on this, a teaching model for academic English reading and writing, driven by the integration of corpus and AI, is proposed, emphasizing the interaction among AI, students, teachers, and the corpus. Finally, the paper points out the challenges faced by this model in practical application and suggests corresponding strategies to address them.