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Research on the Higher Education System Based on Principal Component Analysis

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DOI: 10.23977/curtm.2021.040501 | Downloads: 5 | Views: 832

Author(s)

Wenyuan Cai 1, Yingying Zhang 2, Jiayao Yin 3

Affiliation(s)

1 School of Economics and Trade, Huashang College, Guangdong University of Finance and Economics, Guangzhou, Guangdong, 511300
2 School of Finance, Huashang College, Guangdong University of Finance and Economics. Guangzhou, Guangdong, 511300
3 School of Data Science, Huashang College of Guangdong University of Finance and Economics. Guangzhou, Guangdong, 511300

Corresponding Author

Wenyuan Cai

ABSTRACT

The higher education system is an important part of a country's education of citizens, and has important value to the country's economic development. Firstly, this paper conducted detailed research and analysis on the healthy education system and collected five indicators from eight representative countries (students from specific countries, scientific journal articles in higher education, and higher education staff, higher education enrollment rate, higher education sector's percentage of research and development expenditures) for ten years or more. In order to evaluate quantitatively, this paper establishes a principal component analysis model to evaluate the health status of the national higher education system, and uses SPSS to calculate the final comprehensive evaluation score.

KEYWORDS

Principal component analysis, higher education system, SPSS

CITE THIS PAPER

Wenyuan Cai, Yingying Zhang, Jiayao Yin. Research on the Higher Education System Based on Principal Component Analysis. Curriculum and Teaching Methodology (2021) 4: 1-5. DOI: http://dx.doi.org/10.23977/curtm.2021.040501

REFERENCES

[1] Shoukui Si, Zhaoliang Sun. Mathematical Modeling Algorithms and applications [M]. BEIJING: National Defense Industry Press, 2015.5:399-402.
[2] Qi Yong, Ou Lingyan. Research on the Quality Evaluation Index System of my country's Higher Education Development [J]. Education Modernization, 2020 (6): 107-113.

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