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

Liya Mo

International Journal of Sustainable Development, 2023, vol. 26, issue 3/4, 175-189

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. (search for similar items in EconPapers)
Date: 2023
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