- 期刊
An Evaluation Model of Higher Education System based on the Coagulation Hierarchical Clustering Analysis and Entropy Weight Method
摘要
In a world of rapid economic development and fierce competition, the importance of education is obvious. A healthy and sustainable higher education system is essential to cultivating talents and carrying out modernization. Under the influence of the epidemic, all countries urgently need to reflect and reform the higher education system. This article offers a reliable solution for the evaluation and future vision of higher education in various countries. In the first part, we have completed the analysis and collection of the indicators of the health and sustainable development of the education system, and performed a certain pre-processing on the collected data. By narrowing the scope of related indicators, we finally established three weight: Talent development index (TDI), Scientific Research Index (SRI), and Social Impact Index (SII), including 12 indicators. The entropy weight method and the coefficient of variation method are used to integrate indicators into the health degree of the education system based on three weight, and the specific model of the evaluation system is obtained. In the second part, we apply our model to six countries, and compare the rankings obtained by evaluating this model with QS Higher Education System Strength Rankings to verify the reliability of the model and its wide application. In addition, countries consist of four categories using Coagulation hierarchical clustering analysis: Preferred Selec, Preferred, Standard Plus, Regular. India is elected as one of the characteristic countries, and the current situation of India is comprehensively considered and evaluated based on the model, and the emergence of education is analyzed. The advantages and disadvantages of the system, combined with the actual situation in the era of the epidemic at this stage, propose a good vision for a healthy and sustainable higher education system in India, and use our model to evaluate the vision and the current situation. In the third part, we give an analysis of the sustainability of higher education and the exact time planning. The higher education situation is defined according to the critical value used in the grading, and the progressive gray forecast method is utilized to predict the health status of the Indian higher education system through predictive indicators, including TDI, SRI, SII and TSSI. Depending on this, the exact trend is obtained. Time plans. Then, this article completed the assessment of the vision and the impact of its practice on the country, teachers, and students. Finally, combined with the contemporary post-epidemic situation, we have a vision for the future work. Combined with more complete evaluation indicators and post-epidemic era higher education system reforms, our model has higher stability and broad applicability.