主成分分析在农村现代远程教育影响因素及特征评价中的应用

Zhiming Qu, Xiaoli Wang
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引用次数: 0

摘要

通过数学分析,运用主成分分析(PCA)分析了影响因素和特征对现代远程教育的影响。基于主成分分析模型,对结果进行了计算。通过案例研究可以看出,一些因素和特征在影响MDE中起着非常重要的作用,因为效果取决于相互作用,所以应该考虑到所有因素和特征。通过分析和讨论,得出结论,在数据信息损失最小化的前提下,应用主成分分析法分析农村MDE的效果是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of PCA in Assessing Influential Factors and Characteristics of Modern Distance Education in Rural Area
According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on modern distance education (MDE). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing MDE and all factors and characteristics should be taken into account because the effect depends on the interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on MDE in rural area is approved to be practicable.
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