Title: A method for evaluating the quality of teaching reform based on fuzzy comprehensive evaluation

Authors: Weimiao Cui; Chen Zhang; Xiaoqi Zhang

Addresses: Administration Office, Handan University, Hebei, Handan, 056005, China ' Office of Academic Research, Cangzhou University, Hebei, Cangzhou, 061001, China ' Institute of Education, Handan University, Jeonju University, Hebei, Handan, 056005, China

Abstract: In order to improve the comprehensiveness of evaluation results and reduce errors, a teaching reform quality evaluation method based on fuzzy comprehensive evaluation is proposed. Firstly, on the premise of meeting the principles of indicator selection, factor analysis is used to construct an evaluation indicator system. Then, calculate the weights of various evaluation indicators through fuzzy entropy, establish a fuzzy evaluation matrix, and calculate the weight vector of evaluation indicators. Finally, the fuzzy cognitive mapping method is introduced to improve the fuzzy comprehensive evaluation method, obtaining the final weight of the evaluation indicators. The weight is multiplied by the fuzzy evaluation matrix to obtain the comprehensive evaluation result. The experimental results show that the maximum relative error of the proposed method's evaluation results is about 2.0, the average comprehensive evaluation result is 92.3, and the determination coefficient is closer to 1, verifying the application effect of this method.

Keywords: fuzzy comprehensive evaluation; teaching reform; quality assessment; factor analysis; fuzzy entropy; fuzzy evaluation matrix.

DOI: 10.1504/IJBIDM.2024.140886

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.3/4, pp.239 - 252

Received: 07 Jul 2023
Accepted: 16 Nov 2023
Published online: 03 Sep 2024 *

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