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Analysis of Students' Academic Achievements: A Personality Test Perspective

机译:人格测验视角的学生学业成绩分析

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Using the personality test perspective, this study adopts Data Mining and Association Rule Learning in Big Data Analysis as the basis for finding correlations between the personality test and students' academic performance. The personality test results are divided into 6 types of personality characteristics: Type A, B, C, D, E and F. The most personality traits of the University are Type D, and the main purpose is to find out the most appropriate students for each department, through the relationship between personality traits and academic performance, helping to guide students to master their personality traits and develop their potentials for the future.
机译:从人格测验的角度出发,本研究采用大数据分析中的数据挖掘和关联规则学习作为发现人格测验与学生学习成绩之间相关性的基础。人格测试结果分为6种类型的人格特征:A,B,C,D,E和F。大学最人格特质是D型,其主要目的是寻找最适合的学生。每个部门都通过人格特质与学业成绩之间的关系,帮助引导学生掌握人格特质并开发未来的潜力。

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