The best way to conference proceedings by Francis Academic Press

Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Measuring the Higher Education System

Download as PDF

DOI: 10.25236/iemb.2021.006

Author(s)

Kexin Luan, Qing Sun, Zhenxin Song

Corresponding Author

Kexin Luan

Abstract

On the basis of collecting abundant indicators of the health of the higher education system, 14 indicators were selected using principal component analysis (PCA) to evaluate the health of the system of higher education. The entropy weight method (EWM) is used to obtain the weight vector of the system, and the indicators are standardized to calculate the score [1]. At the same time, the standard of system health is obtained through the K-means algorithm. In the end, an evaluation system including higher education background, higher education scale, higher education quality, higher education investment and higher education contribution is established. Considering the differences in the national conditions of various countries, and also in order to test the adaptability of the evaluation model, construct BP neural network for comprehensive evaluation, define the level scale division of different indicators, and finally obtain the ranking of the 8 sample countries through training samples.

Keywords

Entropy weight method, Evaluation system, BP neural network