Author(s)

Yangyang Liu, Yiran Li, Zhihan Lin

Corresponding Author

Yangyang Liu

ABSTRACT

For a country, it is important to have a healthy and sustainable higher education system. Therefore, the paper propose a model of evaluation to derive a quantitative expression of the health of the higher education system and its relationship with various indicators of higher education. The paper establish the basic framework of the healthy model and the cyclic mode within the system. The six indicators of funding, cost, scale, research level, and quality constitute the subject layer. After considering scientificity and effectiveness, the paper use grey relation analysis(GRA) to obtain the evaluation of health by factors such as higher education enrollment rate (SER), education expenditure of each college student as a percentage of GDP per capita (ESP), and research and development expenditure as a percentage of GDP (RDE). Then, use the entropy weight method (EWM) to derive the health equation. In addition, the paper also apply the discriminant analysis method to find the range of values for healthy, general, and unhealthy states. The corresponding results are 0.5103-1, 0.2415-0.5103, and 0-0.2415. The model is applied to 32 different countries and Iran, which is poorer but promising, is selected to focus on the study. By using the methods of curvilinear regression analysis and factor synthesis, the health status of Iran in the past 20 years was effectively fitted, and the health status in the next 10 years was predicted.

KEYWORDS

Higher education system, grayscale prediction, entropy method, index establishment, education system