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Vocational Interests and Personality Types of College Engineering Students in Relation to Academic Achievement

机译:工科学生的职业兴趣和人格类型与学习成绩的关系

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摘要

The STEM crisis----i.e., the shortage of science, technology, engineering, and mathematics workers----continues to be a major concern within higher education. Literature examining attrition rates within these fields has primarily focused on academic-based factors, such as performance on standardized exams and grade point averages. This study is the first of its kind to explore whether, and to what extent, vocational personality traits and general personality types correlate with and explain the additional variance of academic success among undergraduate engineering students. The participants in this study included 46 engineering students recruited from Manhattan College. The vocational personality of each participant was assessed using the Self-Directed Search-Revised (SDS-R), and general personality was assessed using the NEO Personality Inventory-3 (NEO-PI-3). Grade point average and SAT scores were collected after a consent release form was signed. The results showed that while SAT scores were good predictors of GPA, the addition of personality factors increased the explained variance in GPA. Specifically, the Realistic and Investigative personality types from the SDS-R and Neuroticism and Agreeableness personality traits from the NEO-PI-3 were the highest predictors of GPA after controlling for SAT Math scores. The implications and limitations of these findings are discussed.
机译:STEM危机-即科学,技术,工程和数学工作者的短缺-继续是高等教育中的主要问题。在这些领域中,研究人员流失率的文献主要集中在基于学术的因素上,例如标准化考试的成绩和平均成绩。这项研究是首次探索职业人格特质和一般人格类型是否与之相关以及在何种程度上与工科本科生的学业成就相关的其他因素,并解释了这些成就。这项研究的参与者包括从曼哈顿学院招募的46名工程专业学生。每位参与者的职业性格都使用自我导向的搜索修订版(SDS-R)进行评估,而一般性格则使用NEO人格量表3(NEO-PI-3)进行评估。签署同意书后,收集平均绩点和SAT分数。结果表明,尽管SAT评分是GPA的良好预测指标,但添加人格因子会增加GPA的解释方差。具体来说,在控制SAT Math分数之后,来自SDS-R的现实和研究型人格类型以及来自NEO-PI-3的神经质和宜人性格特征是GPA的最高预测指标。讨论了这些发现的含义和局限性。

著录项

  • 作者

    Hourieh, Naser.;

  • 作者单位

    Fordham University.;

  • 授予单位 Fordham University.;
  • 学科 Psychology.;Engineering.
  • 学位 Ph.D.
  • 年度 2019
  • 页码 92 p.
  • 总页数 92
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:28

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