Empirical Study on Reform Model of College English Teaching Model Based on Computer and Big Data

Abstract

In order to quantitatively evaluate the effectiveness of college English teaching model reform, an empirical analysis model of college English teaching reform model based on computer big data is proposed. The characteristic quantity of college English teaching model is extracted by multivariate information fusion cluster analysis, and the benefit index data of college English teaching model reform are calculated by principal component game method. The efficiency index of the teaching reform model is treated with fuzzy fusion, and the characteristic clustering and multiple regression analysis are realized, so as to realize the quantitative evaluation of the relevance between the reform of college English teaching mode and the performance. Empirical data analysis shows that this method is used to evaluate the efficiency of college English teaching reform is accurate, and the correlation degree of feature extraction is high, which can effectively reflect the various index parameters of college English teaching reform. The accuracy of empirical analysis is high, and the optimization of teaching reform is promoted.