A Corpus Based Method for Evaluating the Teaching Effect of Electronic Engineering English

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Yong Liu

Abstract

The existing evaluation methods have the problem of imperfect teaching effect evaluation model, which leads to the low reliability of the evaluation index. This paper designs a corpus based quantitative analysis method for teaching effect evaluation of Electronic Engineering English. Based on the mathematical principle of radial basis function, this paper uses corpus to analyze the distribution characteristics of Electronic Engineering English courses quantitatively, and uses association rules algorithm to build an English teaching effect evaluation model to comprehensively judge the importance of each factor. Experimental results: the average reliability of the two existing evaluation methods is 1.0751 and 0.5455 respectively, and the average reliability of the evaluation method is 0.7983, which shows that the reliability of the evaluation method is closer to the standard value of 0.8, which proves that the evaluation method of Electronic Engineering English teaching effect integrated with quantitative analysis of corpus has better practical application performance good.

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