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The Secrets of Higher Education

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DOI: 10.23977/aduhe.2024.060216 | Downloads: 9 | Views: 97

Author(s)

Wang Zhiteng 1

Affiliation(s)

1 School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, 233030, China

Corresponding Author

Wang Zhiteng

ABSTRACT

A healthy and sustainable higher education system is the pulse of a country. In the post-epidemic era, the adjustment of higher education policies in various countries has triggered wide public concern. This article combines qualitative and quantitative methods to construct a comprehensive system which can measure the level of the higher education system. Using Entropy weight and the Topsis method, we constructed nine indicators from the three perspectives of academic level, research funding, and talent construction to describe the higher education system. We compared the health values between nine countries, including the United States, China, and Australia. It is concluded that the level of higher education in the United States and China is much higher than the world average; In 2008, the scores of higher education systems in nine countries were relatively low; Australia, which has a lower score, is used as a country to be improved for in-depth research. After simplifying the data, we got the ideal value of the Australian higher education system based on the Entropy weight and numerical simulation, by using Matlab as a realistic and reasonable vision for Australia. The results showed that the ideal value of Australia's higher education health status of is 2.5. In order to verify the sustainability and rationality of the system, Ridge regression is used to estimate the system, and then gray prediction is used to predict Australia's higher education level in eight years. The results show that the level is expected to be close to ideal by 2028.

KEYWORDS

Higher education; Entropy method; Ridge regression; Grey prediction; Matlab

CITE THIS PAPER

Wang Zhiteng, The Secrets of Higher Education. Adult and Higher Education (2024) Vol. 6: 108-120. DOI: http://dx.doi.org/10.23977/aduhe.2024.060216.

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