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An analysis of influence factors for academic performance about personality traits and thinking styles of students: Use a C programming language course in college as an example

机译:大学生人格特质和思维方式对学业成绩的影响因素分析:以大学C语言课程为例

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Academic performance is one of the indicators to evaluate the achievement of college students, which plays an important role in individual development. However, it is worth mentioning that personality traits and thinking styles have an influence on academic performance. To further study the correlation among personality traits, thinking styles and academic performance, we carry out a series of experiments using certain C programming language course in certain college as an example. Firstly, we eliminate the overlap of personality traits and thinking styles by principal component analysis (PCA). Then, three groups of regression analysis on C programming language course grade are performed, i.e., the personality traits with course grades, the thinking styles with course grades, the principal components of the personality traits and thinking styles with course grades. Finally, the experimental results show that Agreeableness has a positive influence on C programming language grades, while Local has a negative influence on C programming language grades. Meanwhile, the personality traits and thinking styles and C course grades are generally not related and the irrelevance is not caused of the multiple collinearity between personality traits and thinking styles.
机译:学业成绩是评估大学生成绩的指标之一,在个人发展中起着重要作用。但是,值得一提的是,人格特质和思维方式对学业成绩有影响。为了进一步研究人格特质,思维方式和学业成绩之间的相关性,我们以某所大学的某些C编程语言课程为例,进行了一系列实验。首先,我们通过主成分分析(PCA)消除了人格特质和思维方式的重叠。然后,对C编程语言课程等级进行三组回归分析,即课程等级的人格特质,课程等级的思维方式,人格特质的主要成分和课程等级的思维方式。最后,实验结果表明,“可喜度”对C编程语言等级具有积极影响,而“本地”对C编程语言等级具有负面影响。同时,人格特质和思维方式与C课程成绩通常不相关,也不是由人格特质和思维方式之间的多重共线性引起的。

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