Author(s)

Jing Xu

Corresponding Author

Jing Xu

Abstract

With the rapid development of digital education and the continuous reform of college English teaching, the traditional teaching mode has long separated learning from practical use. This problem has seriously affected the improvement of students’ overall English ability. This problem is especially obvious in the process of vocabulary input and output in CET-4 preparation. This study builds a “learning-application integration” teaching model from four aspects: teaching objectives, content, methods and evaluation. This model is based on social constructivism, output hypothesis and complex dynamic system theory. We promote the deep integration of artificial intelligence and college English vocabulary teaching by setting hierarchical goals, organizing visualized content, innovating intelligent methods and carrying out diversified evaluations. We also solve three core problems: the separation of theory and practice, the separation of skills and context, and the insufficient cooperation between humans and machines. This study provides a clear theoretical framework and practical operation path for the innovation of college English teaching in the AI era. It helps improve the accuracy of vocabulary teaching and strengthen students’ practical language application ability.

Keywords

Artificial Intelligence, College English, Integrated Learning and Application, CET Vocabulary Teaching, Teaching Model, Implementation Pathways