Title: Evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm

Authors: Liya Mo

Addresses: School of English Language and Culture, Xi'an Fanyi University, Xi'an, 710105, Shaanxi, China

Abstract: In order to solve the problems of low evaluation accuracy, large quantitative error of indicators, and long evaluation time in traditional teaching effect evaluation methods, evaluation method of intelligent classroom teaching effect based on fuzzy set change algorithm was designed for college students' English reading teaching courses. Firstly, determine the evaluation indicators for the effect of English reading teaching for college students in intelligent classrooms. Secondly, the feature vector corresponding to the largest feature of the index is calculated, and the feature vector is quantised. Finally, based on the fuzzy set change algorithm, a fuzzy evaluation matrix is constructed to determine the grade of intelligent classroom teaching quality, construct an intelligent classroom teaching effect evaluation model, and obtain the evaluation results. The experimental results show that using this method can effectively improve the accuracy of intelligent classroom teaching evaluation.

Keywords: intelligent classroom; teaching English reading; evaluation method; weight; fuzzy evaluation model; level 1 evaluation index.

DOI: 10.1504/IJSD.2023.134412

International Journal of Sustainable Development, 2023 Vol.26 No.3/4, pp.175 - 189

Received: 31 Mar 2023
Accepted: 30 Apr 2023
Published online: 20 Oct 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article