An evaluation method of online education reform effect based on fuzzy weight Online publication date: Mon, 02-Sep-2024
by Hui Lv; Mingyang Gao; Tian Hong
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 34, No. 5, 2024
Abstract: In order to overcome the problems of large calculation error and low evaluation accuracy of traditional online education reform effect evaluation methods, this paper proposes a new online education reform effect evaluation method based on fuzzy weight. First, the key influencing factors of online teaching reform effect evaluation are determined for different subjects. Then, the cluster algorithm is used to determine the cluster centre of the evaluation index data, and the construction and quantification of the online teaching reform effect evaluation index system are completed. Finally, the fuzzy weight is determined, and the online education reform effect evaluation algorithm is constructed by using the judgment matrix and the training evaluation index data set. The experimental results show that this method can reduce the calculation error of evaluation weight and improve the evaluation accuracy, and the evaluation accuracy is always kept above 90%.
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