Higher Education Evaluation System Based on Factor Analysis
DOI: 10.23977/aetp.2021.57030 | Downloads: 14 | Views: 836
Author(s)
Qixuan Gao 1, Feilong Jing 1, Wenqiang Ma 1
Affiliation(s)
1 Lanzhou University of technology, Lanzhou, Gansu, 730050
Corresponding Author
Qixuan GaoABSTRACT
In this era, higher education has entered a stage of rapid development, and the degree of popularization has continued to increase.In this case, a healthy and sustainable system is particularly important.The optimal weight equation of the second-level index was established by the projection tracking method, and the particle swarm algorithm was used to solve it and the projection tracking evaluation model was obtained[1]. In addition, a K-means clustering model was established, and three levels of evaluation criteria were obtained: general, good and excellent. In the end, an evaluation system that can assess the health of any country’s higher education system has been formed. Then divide the country through three principles.
KEYWORDS
Education evaluation, particle swarm algorithm, K-means modelCITE THIS PAPER
Qixuan Gao, Feilong Jing, Wenqiang Ma. Higher Education Evaluation System Based on Factor Analysis. Advances in Educational Technology and Psychology (2021) 5: 229-232. DOI: http://dx.doi.org/10.23977/aetp.2021.57030
REFERENCES
[1] Shoukang Qin, Principles and Applications of Comprehensive Evaluation [J], Beijing, Publishing House of Electronics Industry, 2003.
[2] Cintia, P., Giannotti, F., Pappalardo, L., Pedreschi, D., & Malvaldi, [M]. (2015). The harsh rule of the goals: Data-driven performance indicators for football teams. 2015 IEEE International.
[3] Shao Bo: Research on Applied Undergraduate Education in the Process of Popularization of Higher Education in my country [M]. Nanjing Normal University, 2009.
[4] Chen Shan: Innovative Research on Talent Training Model of Higher Vocational Education [M], Beijing, China University of Geosciences.2008.
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