Research on the Capacity of Generative Artificial Intelligence to Assist Higher Vocational Spoken English Teaching ——Analysis based on SPSS

The application of generative artificial intelligence (GAI) in education is increasingly widespread, which brings innovation to the traditional spoken English teaching in higher vocational colleges. Based on Complex Dynamic Systems Theory (CDST), we track the influence of GAI on the fluency, accuracy and complexity of spoken English for six non-English majors in higher vocational colleges, aiming at their lack of spoken communication environment. Using SPSS software and t-test, results show that GAI creates a good interactive environment, improves students ' learning engagement and has positive effects on the fluency, accuracy and complexity of spoken English. The study reveals the necessity of GAI in empowering non-English major students' spoken English teaching in higher vocational education, providing new ideas for spoken English instruction.