A study of innovative strategies for teaching English to college students based on tiered probit

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Xie, Lili
• Format: Journal Article
• Language: English
• Published: Sciendo 01.01.2024
• Subjects: 97C50; Autoregressive model; EGP+ESP+EIC; Probit model; Stratified statistical model; University English language teaching
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns.2023.2.00631

This paper analyzes the current situation of university English teaching and constructs a trinity of EGP+ESP+EIC multiple teaching innovation systems for university English based on the principles of English teaching innovation. In order to analyze this innovative teaching system of English, a stratified statistical model and a spatial autoregressive model are combined, and four ordinal stratified spatial autoregressive Probit models are innovatively constructed to model data where the dependent variable is ordinal, and there is a spatial dependency situation with a stratified structure. The analysis shows that in the process of continuous innovation of English teaching mode, the number of people who are dissatisfied with English teaching decreases by 30%, the number of people who are very satisfied increases by 35%, and the number of people who are very satisfied accounts for 42.5% of the total number of people and 90% of the total number of people who are satisfied in the final stage of innovation of English teaching in university. The English teaching innovation strategy for university students based on this study is feasible.