Affiliations: Core Courses Department, Inner Mongolia Vocational College of Chemical Engineering, Hohhot, Inner Mongolia, People’s Republic of China
Correspondence:
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Corresponding author. Xiaoru Gao, Core Courses Department, Inner Mongolia Vocational College of Chemical
Engineering, Hohhot, Inner Mongolia, People’s Republic of China. E-mail: xiaorugao@excite.com.
Abstract: In order to study the role of English situational teaching in higher vocational colleges, based on information technology and artificial intelligence, this research combines with the needs of English teaching to construct a English situation teaching in higher vocational colleges with the support of 5G network technology and artificial intelligence. Moreover, this research builds a data processing model based on the system architecture diagram of cache placement, uses storage space and computing resources to save more backhaul link bandwidth, and adopts the “many to many” algorithm extended by the “one to many” algorithm, and uses the on-demand method to obtain scenario teaching data from the cloud. In addition, this research constructs the intermediate link of data processing, and uses 5G network transmission to solve the problem of data transmission speed. Finally, this study uses a controlled experiment to evaluate the effectiveness of the artificial intelligence teaching model constructed in this study. The research shows that the English situation teaching method based on 5G network technology and artificial intelligence in vocational colleges has a certain effect and can effectively improve the English scores of vocational college students.
