Application of Multivariate Video Analysis in English Teaching Effect Evaluation Based on Computational Neural Model Simulation

Video observation and content analysis are used to make a "quantitative-qualitative" of English teachers' teaching behavior reflected in classroom videos, accurately describe, analyze, summarize the characteristics from various aspects. Based on this, this study uses video methods NVivo 11 qualitative tools import quantitative data obtained into Excel tables for statistical analysis, objectively describe rules junior high school effects, then put forward suggestions optimize effects strategies promote development. This paper establishes evaluation model. First, calculate weights required by model, relationship matrix, second-level evaluation. Using weight teacher's value will be obtained.