A Study on the Application Paths of Generative Artificial Intelligence in College English Listening and Speaking Teaching

Abstract

Against the background of the rapid iteration of Generative Artificial Intelligence (GenAI) technology, college foreign language
teaching has ushered in an important opportunity for digital transformation. As a core link in cultivating students' language skills, it still faces
practical dilemmas such as insufficient scenario creation, lack of personalized guidance, and low feedback efficiency. This paper explores
how GenAI can be adapted and applied in the teaching of College English listening and speaking, sorts out its core application scenarios in
listening training and oral practice, and constructs a scientific and feasible application path framework, combined with the core objectives
and practical characteristics in the teaching of College English listening and speaking. The study reveals that GenAI can exert a positive effect on
enhancing the quality of that by enriching teaching resources, creating immersive scenarios and providing personalized feedback. However, there
are also problems such as insufficient resource adaptability, weakened teacher-student interaction, and inadequate teachers' technical capabilities.
Based on this, targeted countermeasures are proposed from three dimensions: resource optimization, teaching design, and teacher empowerment,
so as to provide practical reference for the in-depth combination of the two elements, promote the reform of college foreign language teaching.