Analysis on the Effect of Blended Teaching for English Majors Based on Structural Equation Modeling

Abstract

With the "Internet +with the in-depth development of "education", the reform of teaching mode in the era of big data has ushered in a major opportunity. Blended teaching has provided new teaching methods for major universities across the country, covering many subjects. However, the application level of blended teaching at this stage is uneven. There is a problem that a lot of theoretical research lags behind the practical application. In terms of language teaching and learning, how to use blended teaching to optimize the teaching effect poses challenges to teachers, students, teaching platforms and teaching environments. This research will pass Structural equation model explores the factors affecting the effect of blended teaching and their internal relationships, and combines questionnaires, interviews, and quantitative analysis of the influence of teachers, students, teaching platforms, and teaching environments on teaching effects and their interactions , to provide empirical support for improving the construction of a blended teaching system for English subjects. The results show that teachers, students and teaching platforms have a significant positive impact on teaching effects and are closely related internally, while the role of teaching environment is not obvious.