Article Open Access http://dx.doi.org/10.26855/er.2022.11.012
Prediction of Higher Education Level of the Yangtze River Delta
Yiwen Fang1,*, Linghe Kong2, Yan Zhu3
1Business School, University of Shanghai for Science and Technology, Shanghai, 200000, China.
2School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, 200000, China.
3College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, 200000, China.
*Corresponding author: Yiwen Fang
Published: December 26,2022
Abstract
Colleges and universities are the core bases of talent cultivation, and the level of higher education is closely related to the development of economy and technology. In recent years, China's investment in higher education continues to increase. The Yangtze River Delta, as the region with the highest level of higher education in China, plays an important leading role in the construction of colleges and universities. Therefore, this paper constructs a scientific and reasonable indicator system to quantify and predict the higher education level of the Yangtze River Delta, which can provide guidance for the construction of Chinese universities. This paper first determines seven indicators to measure the future development of higher education in the Yangtze River Delta from three aspects of schools, teachers and students. Based on the data of the seven indicators from 2013 to 2020, time series analysis is carried out, and AR autoregressive prediction model is established to obtain the prediction values of the seven indicators from 2021 to 2027, thus illustrating the future development trend of higher education in the Yangtze River Delta.
References
Kou Xiaodong, Xu Bin. (2009). Research on Evaluation System of Undergraduate Specialty Construction Quality in Universities [J]. Science & Technology Information, 2009, (29):401-402.
Li Chunhong. (2007). Comparative Research of Regional-Education Cooperation in Yangtze River Delta and Zhujiang Delta [J]. Theory and Practice of Education, 2007, (02):47-49.
Li Yijiang, Wang Yilan. (2021). Development of Education Integration in the Yangtze River Delta Region: Achievements, Challenges and Countermeasures [J]. Journal of Jiangsu Second Normal University, 2021, 37(04):1-7+123.
Si Shoukui, Sun Zhaoliang. (2016). Mathematical Modeling Algorithm and Application [M]. 2nd Edition Beijing: National Defense Industry Press, 2016.
Tan Yongtong, He Jun. (2022). Research on the Integration of Higher Education and Synergistic Development of Scientific and Technological Innovation in Yangtze River Delta [J]. China Journal of Commerce, 2022, (11):146-148.
How to cite this paper
Prediction of Higher Education Level of the Yangtze River Delta
How to cite this paper: Yiwen Fang, Linghe Kong, Yan Zhu. (2022). Prediction of Higher Education Level of the Yangtze River Delta. The Educational Review, USA, 6(11), 737-740.
DOI: http://dx.doi.org/10.26855/er.2022.11.012