触摸高等教育系统脉搏:运用健康诊断

Qinyi Zhang, Yizhuo Qin, Lingyu Qiu
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引用次数: 0

摘要

本文提出了一个健康诊断学家模型,对国家高等教育系统进行综合评分。首先,构建了高等教育健康诊断学家模型,运用熵权法和因子分析法筛选了57个指标,保留了7个代表性指标。我们引入效用函数U和风险系数R来评估高等教育系统的健康现状,其中模型的输入变量是由每个国家的57个指标组成的“健康画像”,输出变量是健康分数。其次,我们从世界银行教育数据库中提取了31个国家近10年的“健康画像”,并使用效用得分和排名来验证模型的有效性,我们得到平均得分为0.166,英国、美国、加拿大排名前三。选择墨西哥作为进一步研究的对象,得分为0.123。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Touch the Pulse of Higher Education System: Using Health Diagnosis
In this paper, we propose a health diagnostician model to synthetically score national higher education systems. Firstly, we construct a Health Diagnostician Model for Higher Education, using Entropy Weight Method and Factor Analysis to screen 57 indicators and retain 7 representative indicators. We also introduce utility functions U and risk coefficients R to assess the health status quo of higher education system, where the input variables of the model are the "Health Portraits" composed of 57 indicators from each country, and output variables are health scores. Secondly, we extracted the "Health Portraits" from the World Bank Education Database for 31 countries for the last 10 years, and used the utility score and ranking to verify the validity of the model, we obtaining an average score of 0.166, The United Kingdom, United States Canada ranked in the top three. Mexico, with a score of 0.123, was selected for further study.
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