International Journal of Education

The rapid development of artificial intelligence (AI) technology is profoundly reshaping the ecological environment of higher education. As a key link between general education and professional education, college English courses are confronted with unprecedented opportunities for digital transformation as well as challenges in teaching paradigm reconstruction. This paper focuses on the internal mechanism and teaching model construction path of human-machine symbiosis in college English courses under the AI-empowered scenario. Firstly, it sorts out the current research status of AI application in education and clarifies the paradigm transformation trend from "tool assistance" to "in-depth human-machine integration". Secondly, it analyzes the essence of human-machine symbiosis, which lies in a new type of teaching community with emergence formed by teachers, students and AI agents through complementary advantages, two-way adaptation and collaborative evolution. Then, it elaborates on the operation points of three typical teaching models — "AI-driven personalized learning paths", "human-machine collaborative intelligent classroom teaching" and "data-empowered formative assessment" — based on teaching cases. Finally, it constructs a human-machine symbiotic teaching model for college English courses featuring "dual centers, three stages and four dimensions". Through this research, the paper aims to provide theoretical support and practical reference for the digital transformation of college English courses.

Artificial intelligence; College English; Human-machine symbiosis; Mechanism; Teaching model