An evaluation method of teaching reform effect based on grey relational degree

Jianlei Zhang

International Journal of Innovation and Sustainable Development, 2025, vol. 19, issue 5/6, 530-541

Abstract: Aiming at the effect of teaching reform, the traditional evaluation method has some problems, such as low recall rate of index data, high proportion of noise data, and low accuracy of evaluation. The evaluation method based on grey correlation degree is proposed. First, set up the evaluation index system to obtain the evaluation indexes, and then preprocess the obtained indexes. Then, use the fuzzy IOSDATA clustering algorithm to cluster the pretreated indexes. Finally, according to the clustering results, determine the index weight based on the entropy weight method. According to the index weight, calculate the grey correlation degree, and sort the grey correlation degree according to the size, and combine it with the evaluation model to obtain the final evaluation value. The experimental results show that the index data recall rate of this method is high, the proportion of noise data is low, and the evaluation effect is good.

Keywords: grey correlation degree; reform in education; effect evaluation; fuzzy IOSDATA clustering algorithm; rejection of abnormal points; grey correlation coefficient. (search for similar items in EconPapers)
Date: 2025
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