Research on Higher Education Evaluation System Based on the 3E-R model
DOI:
https://doi.org/10.54097/ehss.v2i.820Keywords:
PCA, Time Cumulative Algorithm, Higher Education Evaluation.Abstract
Globalization has created a higher education environment that is much more different than ever before. The level of higher education is related to a nation's comprehensive national power closely. Therefore, it is urgent and vital to building a healthy and sustainable higher education system that meets national development needs, which should also equip with an effective evaluation system that can be used widely. We use rigorous methods to build the 3E-R model to distinguish those two concepts and quantify them in the higher education system. In terms of the measurement of the heath of the higher education system, we employ 3E (Economics, Efficacy, Effectiveness) and "process" variables derived from them to measure the input, process, and output of a nation's higher system. We use the Average Weighted Method to measure just-in-time indicators (efficacy and effectiveness) and principal component analysis (PCA) to identify their weights on the basis of multi-country data. In terms of quantifying the sustainability of the system, we introduce risk factor R to measure the extent to which external factors influence the higher education system. Specifically, we measure external risk by a nation's fragility and market competition intensity of its higher education system and measure the level of resistance to external risks by the nation's economic strength. Since economic strength is historically relevant, we used the Time Cumulative Algorithm to calculate it. Finally, we use our model to analyze and evaluate the health and sustainability of the higher education systems of these 31 countries.
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