Research on the Evaluation of higher Education Health system based on Principal Component Analysis
Wenchang Luo
Abstract
Wenchang Luo
Abstract
The higher education system is the most important component of civic education in addition to primary and junior secondary education, and is therefore valuable both as an industry itself and as a source of national economic training and educated citizens. It is very important for a country to have a healthy and sustainable higher education system. First of all, this paper sets up six indicators to judge the health status of the higher education system: the number of higher education institutions, government education expenditure, the number of students receiving higher education, the number of teachers receiving higher education, student satisfaction and international exchanges. Then establish the principal component analysis model, through the principal component analysis to judge that among the six influencing factors, the number of colleges and universities, government education funds, the number of students receiving higher education and the number of teachers are the main influencing factors. Taking the above main factors as eigenvalues, the same number of countries are selected from the top, list and bottom of the list according to the list of the best countries in education in the world, and their relevant data are collected. The fuzzy comprehensive evaluation model is used for modeling and evaluation, and the analysis results of many countries are obtained.
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The higher education system is the most important component of civic education in addition to primary and junior secondary education, and is therefore valuable both as an industry itself and as a source of national economic training and educated citizens. It is very important for a country to have a healthy and sustainable higher education system. First of all, this paper sets up six indicators to judge the health status of the higher education system: the number of higher education institutions, government education expenditure, the number of students receiving higher education, the number of teachers receiving higher education, student satisfaction and international exchanges. Then establish the principal component analysis model, through the principal component analysis to judge that among the six influencing factors, the number of colleges and universities, government education funds, the number of students receiving higher education and the number of teachers are the main influencing factors. Taking the above main factors as eigenvalues, the same number of countries are selected from the top, list and bottom of the list according to the list of the best countries in education in the world, and their relevant data are collected. The fuzzy comprehensive evaluation model is used for modeling and evaluation, and the analysis results of many countries are obtained.
Key concepts: Higher education, Government (linguistics), Economic growth, Principal component analysis, Principal (computer security), Primary education, Political science, Business