Abstract
In this paper, the fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation effectively and provides a feasible and convenient English teaching quality evaluation system by combining quantitative evaluation with objective index data. Firstly, the English teaching quality evaluation model is constructed based on the fuzzy comprehensive evaluation analysis method and the weight values of each factor are calculated; secondly, the three types of data in the model are processed separately. This includes standardizing the data of objective indicators such as students’ course grades and weakening the influence of course difficulty on this indicator. The fuzzy comprehensive evaluation model based on the bat algorithm quantifies the qualitative evaluation to make the calculated comprehensive evaluation of English teaching quality more comprehensive and objective; then the comprehensive calculation of English teaching quality evaluation is completed, and the English teaching quality evaluation model is constructed by extracting keywords based on the qualitative evaluation; finally, a runnable English teaching quality evaluation system is designed and implemented. A fuzzy comprehensive evaluation algorithm based on improved bat algorithm optimization is proposed. The algorithm uses the improved fuzzy comprehensive evaluation algorithm to optimize the initial clustering centers and adopts a new objective function to guide the clustering process, thus improving the clustering quality of the fuzzy comprehensive evaluation algorithm. Comparative analysis through models shows that the improved algorithm improves the clustering accuracy to a certain extent when compared with the traditional fuzzy comprehensive evaluation clustering algorithm for analysis. The bat algorithm is one of the stochastic global optimization models. It can take advantage of the group, integrate global search and local search, and achieve rapid convergence. Therefore, it plays an important role in optimizing the evaluation of English teaching quality. This study enriches the theoretical study of English teaching quality evaluation to a certain extent and can play a role in strengthening and improving English teaching quality evaluation at the present stage.
Highlights
In today’s society, computer technology continues to evolve and change with each passing day, and the development cycle continues to shorten
Some problems are found when the English teaching system is put into use. ere is no English teaching quality evaluation function in the system or the English teaching quality evaluation function is not sound enough, the management method of the information about the database adopts the slightly old query and statistics, without using the latest technology, and the characteristics of the database are not effectively designed and developed, which will produce some waste of resources [1, 2]. erefore, a set of English teaching quality evaluation systems that can adapt to the development
E first part of this paper is the introduction, which discusses the background of the ELT quality evaluation study, clarifies the purpose of ELT evaluation, and explains the theoretical and practical significance of this study. e second part of this paper focuses on analyzing the current situation of English teaching quality evaluation and the problems that exist. e third part of this paper focuses on the research of English teaching quality evaluation based on the fuzzy comprehensive evaluation of the bat algorithm
Summary
In today’s society, computer technology continues to evolve and change with each passing day, and the development cycle continues to shorten. Ge et al proposed a generalized entropy fuzzy comprehensive evaluation algorithm based on feature weighting by introducing the entropy constraint term into the objective function of the bat fuzzy comprehensive evaluation algorithm and showed through experiments that the improved algorithm can, to a certain extent, solve the problem of low evaluation quality due to uniform contraction of the comprehensive evaluation algorithm in that the study compares the real situation in the process of English teaching with the ideal goal comparison, which is considered as the actual course of ELT assessment [14]. Is paper constructs an English teaching quality evaluation model based on the bat algorithm, and the model contains the processing of quantitative evaluation data, the standardization of objective index data, and the quantification of qualitative evaluation. E traditional bat algorithm and other intelligent optimization algorithms, such as the particle swarm algorithm, Research evaluation object
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
