| 摘 要: 针对目前本科生综合素质评价体系并不能真实反映学生的能力这一问题，提出一种基于主成分分析的本 科生能力评价方法。分析了能力评价体系的指标；编写皮尔逊相关系数软件，证明各个指标之间存在相关关系。利用主 成分分析的方法将各指标按照不同能力类别进行划分，编写主成分分析软件，最终得出五类能力指标。利用这五类能力 指标对学生的能力进行评价，得到的评价结果与学生的就业质量进行比对，得出结论，能力评价结果排名靠前的学生都 是就业质量非常高的学生，并非传统的评价方法中排名靠前的学生，表明本文提出的能力评价方法更真实地反映了学生 的能力。 |
| 关键词: 主成分分析；能力评价方法；综合素质评价；皮尔逊相关系数；就业质量 |
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中图分类号: TP311
文献标识码: A
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| 基金项目: 辽宁省教育科学“十三五”规划项目(JG17DB069)；辽宁省教育评价协会重点项目(PJHYZD17018)；大连海洋大学教改项目(JG2016YB22). |
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| Research on Undergraduate Ability Evaluation Method Based on Principal Component Analysis |
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SUN Geng,FENG Yanhong,YU Hong,CUI Chunlei1,2
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1.( 1.College of Information Engineering, Dalian Ocean University, Dalian 116023, China;2.
2.Key Laboratory of Marine Information Technology of Liaoning Province, Dalian 116023, China)
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| Abstract: Aiming at the problem that the current undergraduate comprehensive quality evaluation system cannot truly reflect the ability of students,a method of undergraduate ability evaluation based on Principal Component Analysis (PCA) is proposed in this paper.The indicators of the ability evaluation system are analyzed,and Pearson correlation coefficient software is compiled to prove the correlation among the indicators.The indicators are divided according to different ability categories by using PCA method.Finally,five categories of ability indicators are obtained with PCA software.They are used to evaluate the students' ability,and the evaluation results are compared with the students' employment quality.It is concluded that the students who rank the top in the ability evaluation results are the ones with very high quality of employment,but not the ones who rank the top in the traditional evaluation methods,which shows that the ability evaluation method proposed in this paper reflects the students' ability more truthfully. |
| Keywords: PCA;ability evaluation method;comprehensive quality evaluation;Pearson correlation coefficient;quality of employment |
