Title: Factor analysis and evaluation of China's higher education development in big data era

Authors: Hangjun Zhou; Xingxing Zhou; Jing Liu; KeZhuo Chen

Addresses: School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, China ' School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, China ' School of Information Management and Technology, Hunan University of Finance and Economics, Changsha, Hunan, China ' Housheng School of International Education, Institute of Accounting, Hunan University of Finance and Economics, Changsha, Hunan, China

Abstract: Big data has become an indispensable part of higher education development now, and most of the related data in higher education of China can be applied to evaluation and analysis. However, currently there is a lack of research on the development of higher education using the latest China Statistical Yearbook data. In this paper, based on the latest data, by using SPSS to analyse and evaluate the development of higher education, the new issues can be discovered and initial reliability recommendations can be proposed. Therefore, we will have more profound and unique insights and applications in the practice of the big data era, and will further provide evidence and clues to better support and develop China's higher education.

Keywords: higher education; data analysis; SPSS; big data.

DOI: 10.1504/IJES.2020.110661

International Journal of Embedded Systems, 2020 Vol.13 No.4, pp.459 - 465

Received: 25 May 2019
Accepted: 02 Sep 2019
Published online: 27 Oct 2020 *

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