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Based on the Analysis and Prediction of the Current Situation of Higher Education in the Yangtze River Delta Region

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DOI: 10.23977/trance.2022.040307 | Downloads: 10 | Views: 568

Author(s)

Chao Liu 1, Shixing Han 1, Shutong Liang 1, Bin Hong 1, Shixuan Han 2

Affiliation(s)

1 College of Engineering, Tibet University, Lhasa, 850000, China
2 Leicester International College, Dalian University of Technology, Panjin, Liaoning, 124221, China

Corresponding Author

Shixing Han

ABSTRACT

The number of high-quality higher education resources and educational resources in the Yangtze River Delta region is at the leading level in the country, and changes in its education level often affect the development of education in the whole country, which makes it particularly important to study higher education in the Yangtze River Delta region. Therefore, this paper summarizes the development status of higher education in the Yangtze River Delta region through the university resources, first-class construction universities, the proportion of university strength, and the proportion of higher education capacity of four provinces and cities. The factors influencing the development of higher education are studied through the factor significance of the Logit model, the collected data are processed by U and ε, and the factors affecting the development of higher education are obtained through the significance analysis of Logit. At the same time, in order to effectively observe the development level and trend of higher education in the Yangtze River Delta, this paper establishes a comprehensive evaluation model of combined weights based on grey correlation analysis and entropy weight method.

KEYWORDS

Higher education, Logit model, Grey correlation, Entropy rights law, Combine weights

CITE THIS PAPER

Chao Liu, Shixing Han, Shutong Liang, Bin Hong, Shixuan Han, Based on the Analysis and Prediction of the Current Situation of Higher Education in the Yangtze River Delta Region. Transactions on Comparative Education (2022) Vol. 4: 44-52. DOI: http://dx.doi.org/10.23977/trance.2022.040307.

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