Frontiers in Educational Research, 2021, 4(4); doi: 10.25236/FER.2021.040416.
Menghui Chu, Zekai Wang, Zirui Zhao
Electrical Information Department, Shandong University of Science and Technology, Jinan, Shandong, 250031, China
This paper is here to develop a model that can assess the health status of the higher education system in any country. Then select a country and propose a set of policies that will move that country from its current state to its target state. Five indicators for the evaluation of the education system are formulated. Then, Python crawler is used to capture the data of different countries under these five indicators from the Internet. Then, K-means++ clustering method is used to classify countries into three classes. The significance and specific results of classification are shown in 4.2.1 and Table3. Then, according to different types of countries, TOPSIS based on entropy weight method is used to establish a system that can evaluate the health status of higher education in any country.
Python crawler, K-means++ clustering, TOPSIS, PCA, BP neural network, Fuzzy comprehensive evaluation
Menghui Chu, Zekai Wang, Zirui Zhao. Checking the Pulse and Temperature of Higher Education Based on K-means. Frontiers in Educational Research (2021) Vol. 4, Issue 4: 79-84. https://doi.org/10.25236/FER.2021.040416.
[1] Wang Zhengqing, Wang Yin, Sun Xinyan. Research on the Measurement and Related Factors of Higher Education Competitiveness Level of Countries along the Belt and Road [J]. Journal of southwest university (social science edition), 2021, 47(01): 112-123+227. DOI:10.13718/j.cnki.xdsk.2021.01.011
[2] Zhang Tianshu. Excel based time series index analysis method in statistics [J]. Office automation, 2020, 25(22): 45-46+37.
[3] https://ourworldindata.org/global-education
[4] Liang Qian. Three challenges of quality assurance in higher education and their solutions [J]. Educational Research, Tsinghua University, 2020, 41(01): 142-148.