Design and Application of Teaching System for College English Listening and Speaking Course Empowered by Generative Artificial Intelligence

To explore the practical application effects of generative artificial intelligence in college English listening and speaking course, this study designed and implemented a teaching system comprising four main modules: teaching content management, interactive learning, assessment and feedback, and user management and interaction. Leveraging advanced technologies such as automatic speech recognition, natural language processing, and Long Short-Term Memory networks, the system fully meets the needs of English listening and speaking course. Test results show that compared to traditional systems, this system has significant advantages in indexes including English listening and speaking test scores, speech pronunciation accuracy, and language fluency. According to research findings, there exists potential of generative artificial intelligence in enhancing teaching efficiency and quality in college English listening and speaking courses.