An evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights

Shan Yang

International Journal of Sustainable Development, 2025, vol. 28, issue 2/3, 307-321

Abstract: To solve the problems of low evaluation accuracy and large calculation error of indicator weights in traditional methods, an evaluation of quality of college student training based on combination of entropy weight and variation coefficient weights is proposed. Firstly, determine the quality evaluation indicators for cultivating students in universities and conduct descriptive statistics on the sample characteristics of the indicator data. Secondly, the evaluation indicators are selected through the correlation coefficient matrix and factor loading. Finally, the entropy weight method is used to determine the weight of indicators, and a student training quality evaluation model based on the combination of entropy weight and variation coefficient weights is constructed to obtain the training quality score value. The experimental results show that the evaluation accuracy of the proposed method is close to 100%, and the minimum error in calculating indicator weights is about 0.05%.

Keywords: combination of entropy weight; variation coefficient weights; college student training; evaluation; correlation coefficient matrix; factor loading. (search for similar items in EconPapers)
Date: 2025
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