Research on the Application of Intelligent Tutoring System in Personalized English Teaching in Colleges

Intelligent assistance systems have shown significant potential in the personalized teaching of English in colleges and universities. In this study, we conducted an empirical study on college English learners, SPSS is used for data analysis, and Python is used for chart visualization and model training, and used the design of experimental group and control group to analyze the impact of intelligent assistance system on students' academic performance and satisfaction. The results verify the effectiveness of the intelligent assistance system in personalized teaching. In addition, the application status and application path of intelligent assistance system in teaching practice are discussed, and strategic suggestions are given. Through the data analysis of this study, it is hoped that it can provide educators and decision-makers with an empirical basis for the application of intelligent assistance systems in personalized English teaching, and create a more efficient and targeted learning environment for students.