Research on the Interdisciplinary Integration Path of College English Empowered by Artificial Intelligence

Abstract

With the rapid development of artificial intelligence technology and its deep integration with the field of education, college English teaching is facing a major opportunity to shift from cultivating single language skills to empowering students' interdisciplinary literacy and comprehensive abilities through language as a medium. This study aims to explore how artificial intelligence technology can effectively empower interdisciplinary integration in college English teaching in order to meet the needs of cultivating compound and international talents in the new era. The paper first analyzes the core dilemmas faced by current college English teaching in interdisciplinary integration practices, such as the disconnect between teaching content and real subject scenarios, the scarcity of teaching resources, insufficient interdisciplinary teaching ability of teachers, and the single evaluation method. Based on this, this study constructs an “AI-empowered Interdisciplinary Integration Pathway Model for College English.” With the core philosophy of “student-centered, output-oriented”, this model systematically elaborates three key integration pathways: First, the content integration pathway utilizes AI technology to thoroughly mine and dynamically generate authentic language materials and teaching cases related to specific majors, thereby establishing a personalized, scenario-based teaching content system. Second, the teaching process restructuring pathway reshapes the “pre-class, in-class, and post-class” teaching process through tools such as intelligent writing assistants and cross-language information retrieval, creating an interdisciplinary project-based learning environment that guides students to utilize English in completing analysis, collaboration, and creation tasks with disciplinary characteristics. Third, the evaluation and teacher development pathway employs AI learning analytics technology to achieve diversified, process-oriented evaluations of students' language use and cognitive processes in interdisciplinary tasks; simultaneously, it advocates for the establishment of an “AI+ teaching research community” to enhance teachers' interdisciplinary teaching design capabilities and AI literacy. This study posits that artificial intelligence serves not only as a technical tool for achieving interdisciplinary integration but also as a core driver that catalyzes the reconstruction of teaching philosophies and the innovation of teaching models. Through these pathways, college English teaching can effectively dismantle disciplinary barriers, transforming from a “general education course” serving liberal arts education into an “empowerment platform” that supports professional development, thereby cultivating exceptional talents equipped with global perspectives, cross-cultural communication skills, and interdisciplinary innovation capabilities.