Research on Classroom Revolution of Foreign Language Major in the Context of Artificial Intelligence

Abstract

The rapid advancement of artificial intelligence technology has injected new momentum into the innovative transformation of foreign language classroom teaching, while also raising higher requirements for talent cultivation in the new era. Traditional foreign language classrooms face challenges such as rigid teaching models, lack of personalized guidance, insufficient cross-cultural practice scenarios, and monotonous evaluation systems, making them ill-suited for digital-era language education needs. Based on the application characteristics of AI technology, this study explores practical strategies from four perspectives: teaching models, content construction, practical training, and evaluation systems. The aim is to reconstruct the teaching ecosystem of foreign language classrooms, diversify teaching implementation approaches, and promote the comprehensive development of students' core competencies in language application and cross-cultural communication. This research provides valuable insights for the digital transformation of foreign language education.