- 期刊
Higher Education Evaluation based on Principal Component Analysis and Time-Series Analysis
摘要
Nowadays, a healthy, sustainable higher education system plays a major role in the education of a country. Therefore, we should improve the evaluation method of higher education and determine a reasonable and scientific development strategy. Firstly, we establish the health degree evaluation model of higher education according to the characteristics of the health degree index system. In this part, we analyse the influence degree of each factor is obtained by Spearman correlation coefficient method. The final calculation shows that the health level of higher education in China is 2, that in the United States is 5, and that in South Africa and India is 1. Secondly, we build an evaluation model for the sustainable development of higher education, and confirm the weights of three factors and 11 secondary indicators of ＂innovation and sharing factor＂, ＂diversity and collaboration factor＂, ＂scientific research opening factor＂ by using factor analysis. We exploit this model to evaluate Chinese sustainable development ability. Then we use the time-series analysis model to predict the future situation of Chinese higher education system. After that, we have established four subsystems of innovation, collaboration, openness and sharing, and selected indicators of R & D investment intensity, number of processors and number of academic papers to put forward four development strategies for China. Then we predict the impact of our strategy on Chinese higher education system, and compare it to the original model to prove the rationality and scientifically of our strategy. Finally, we study the actual influence of the four strategies on China, and put forward suggestions for improving the evaluation model. Based on our research, China is currently the most rapidly developing country in the higher education system.