Higher Education Evaluation Model Based on Multivariate Statistical Analysis from the Perspective of Ecosystem

Shen Zhao
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Abstract

Higher education is an important part of social development and progress. However, the shortage of higher education resources and the lack of education investment always exist. The ever expanding demand for education makes the education resources which are not abundant more limited. The quality of higher education evaluation plays a very important role in the rapid and stable development of education. At present, the research methods of higher education evaluation are mostly based on qualitative analysis. In the quantitative analysis and research, the health and sustainable development of higher education are often ignored at the target level, and the correlation of various factors in the system is ignored, which has an adverse impact on the evaluation of higher education work and the formulation of reasonable higher education development strategy in the future. This paper applies the idea of multivariate statistical analysis flexibly and efficiently, and establishes a factor analysis model of higher education evaluation based on the perspective of ecosystem under the support of the concept of sustainable development of ecosystem, so as to systematize the application of multivariate statistical analysis in higher education evaluation. The health and sustainability of 16 countries were studied by using the model. Finally, we made a comprehensive evaluation and ranking of them. On the basis of factor stratification, the four common factor modules of comprehensive evaluation are analyzed in detail, which provides a direction basis for the development of follow-up higher education in relevant countries.
生态系统视角下基于多元统计分析的高等教育评价模型
高等教育是社会发展进步的重要组成部分。然而,高等教育资源短缺和教育投入不足的问题一直存在。不断扩大的教育需求使得本不丰富的教育资源更加有限。高等教育质量评价对教育的快速稳定发展起着十分重要的作用。目前,高等教育评价的研究方法多以定性分析为主。在定量分析和研究中,往往在目标层面忽略了高等教育的健康可持续发展,忽略了系统中各因素的相关性,这对今后高等教育工作的评价和合理的高等教育发展战略的制定产生了不利影响。本文灵活高效地运用多元统计分析思想,在生态系统可持续发展理念的支持下,建立了基于生态系统视角的高等教育评价因子分析模型,使多元统计分析在高等教育评价中的应用系统化。利用该模型对16个国家的健康和可持续性进行了研究。最后对其进行综合评价和排名。在因子分层的基础上,详细分析了综合评价的四个常见因子模块,为相关国家后续高等教育的发展提供了方向性依据。
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