工科学生对非营利和公共政策职业的兴趣:运用数据驱动法确定促成因素

IF 3.9 2区 工程技术 Q1 EDUCATION & EDUCATIONAL RESEARCH
Dayoung Kim, Andrew Katz
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引用次数: 0

摘要

背景 工程专业的学生有一系列的职业发展机会。其中一些机会会让他们进入不同的经济部门。许多人可能想在私营/公司部门发展,但工程师在非营利/非政府组织部门和公共政策/政府部门也可以发挥重要作用。 目的/假设 本研究旨在使用数据驱动法来了解与工科学生在非营利/非政府组织和公共政策/政府部门就业的可能性相关的因素。 方法 我们分析了一项针对工科学生毕业班学生的全国性调查数据。我们使用了一种数据驱动方法,该方法结合了序数随机森林、投射预测变量选择和序数逻辑回归分析。 结果 在学生的职业满意度中,某些因素的重要性(如帮助他人、在慈善团体做志愿者)是最能预测学生在非营利组织/非政府组织部门就业的项目。赚钱的重要性与学生从事非营利/非政府组织行业的职业负相关。相反,学生对某些主题(如恐怖主义和战争、气候变化)的兴趣对从事公共政策/政府部门工作的学生最有预测性。某些学术专业也与学生加入公共政策/政府部门的可能性呈正相关。工作保障也是从事这两个行业的一个影响因素。 结论 本研究强调了在私营部门以外的其他职业道路上劳动力发展的重要但研究不足的领 域,这有可能有助于扩大对工程学的参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Engineering students' interests in nonprofit and public policy careers: Applying a data-driven approach to identifying contributing factors

Engineering students' interests in nonprofit and public policy careers: Applying a data-driven approach to identifying contributing factors

Background

Engineering students have an array of career opportunities they can pursue. Some of these opportunities will place them in different sectors of the economy. Whereas many may want to pursue careers in the private/corporate sector, there are important roles for engineers to play in the nonprofit/NGO sector and the public policy/government sector.

Purpose/Hypothesis

The aim of this research was to use a data-driven approach to understanding factors associated with engineering students' likelihood of pursuing careers in the nonprofit/NGO and public policy/government sectors.

Methods

We analyzed data from a national survey of final-year engineering students. We used a data-driven approach combining an ordinal random forest, projection predictive variable selection, and ordinal logistic regression analysis.

Results

The importance of certain factors in the students' career satisfaction (e.g., helping others, volunteering with a charity group) was the most predictive item for students pursuing careers in the nonprofit/NGO sector. The importance of making money was negatively associated with students pursuing careers in the nonprofit/NGO sector. Conversely, the students' interest in working on certain topics (e.g., terrorism and war, climate change) was the most predictive for those pursuing careers in the public policy/government sector. Certain academic majors were also positively associated with students' likelihood of joining the public policy/government sector. Job security was also an influential factor for pursuing careers in both sectors.

Conclusion

This study highlights important but understudied areas for workforce development in alternative career paths beyond the private sector, which could potentially contribute to broadening participation in engineering.

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来源期刊
Journal of Engineering Education
Journal of Engineering Education 工程技术-工程:综合
CiteScore
12.20
自引率
11.80%
发文量
47
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering Education (JEE) serves to cultivate, disseminate, and archive scholarly research in engineering education.
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