A method for weighting English education evaluation indicators based on multi-objective planning

This study aims to construct a scientific weight allocation model of English education evaluation system to improve the scientificity and objectivity of English education evaluation.This paper constructs an English education evaluation index system containing fifteen secondary indicators and five primary indicators.Based on the defects in parameter selection of the standard projection tracing model, this paper introduces the particle swarm optimization algorithm to optimize the parameters of the model, and combines the quality evaluation mathematical model based on segmental interpolation method to assign the weights of English education evaluation indicators, which accurately reflects the contribution of each indicator.In the experimental part, this paper compares the model optimized by the particle swarm algorithm with the standard projection tracing model, and finds that the relative error of this paper's model is reduced by 0.61% compared with the standard projection tracing method, and it can effectively identify the key evaluation indicators, and identify the school leadership level as the most critical English education evaluation indicators.The study provides English education administrators and teachers with more referential evaluation information, which contributes to the scientificization and standardization of the English education evaluation system.