Deep Integration of AI and Multimodal Theory in College English Teaching: Design, Practice and Effect Verification

Abstract

In the context of smart education, college English instruction is shifting from knowledge delivery to competency cultivation and humanistic development. Based on multimodal discourse analysis and artificial intelligence (AI) technologies, this paper builds an innovative college English teaching framework supported by intelligent tools, diversified input, interactive output and data-based evaluation. Via theoretical exploration, teaching design, empirical practice and effect analysis, this research explores the implementation path and application value of the integrated model. Results show that the joint application of AI and multimodal theory significantly promotes students’ English application skills, autonomous learning capacity, cross-cultural communication awareness and critical thinking competence. This study offers theoretical support and practical references for the deep integration of information technology and college English courses, and facilitates the high-quality advancement of college English education.