The Construction of a Precision Education Model of English in Colleges and Universities Based on Regression Modelling

Abstract

Abstract This paper first clarifies the goal of English precision teaching, constructs a big data precision teaching model by combining it with Internet technology, and designs a precision teaching flow chart. Then the regression model is used to construct the assessment model of the precise teaching program, portraying the relationship between the teaching effect and students’ characteristics and behavioral performance under the teaching program. Then, the parameters of the assessment model were evaluated using a similar least squares method to optimize the model. Finally, the assessment model was used to analyze the level and impact of English precision teaching. The results show that there is a significant improvement in students’ performance after precision teaching p=0.00<00.05. In terms of the level of teaching, there is 78.76% of classroom teaching conformity, 69.68% of precision optimization teaching conformity, and 66.67% of precision diagnosis teaching conformity, which is close to the level of comparative conformity. This study has important reference value for English teaching in colleges and universities.