使用随机森林分析确定学生人口统计和高中水平的因素预测大学工程专业的选择

Q1 Social Sciences

Australasian Journal of Engineering Education Pub Date : 2021-06-17 DOI:10.1002/jee.20393

Li Tan, Joyce B. Main, R. Darolia

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引用次数: 11

摘要

鉴于工程师对一个国家的经济和潜在创新的重要性，鼓励更多的学生将工程作为大学专业是势在必行的。先前的研究已经确定了与工程专业选择相关的广泛的高中经历和人口因素;然而，这些因素很少按相对重要性进行排名或排序。

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Using random forest analysis to identify student demographic and high school‐level factors that predict college engineering major choice

Given the importance of engineers to a nation's economy and potential innovation, it is imperative to encourage more students to consider engineering as a college major. Previous studies have identified a broad range of high school experiences and demographic factors associated with engineering major choice; however, these factors have rarely been ranked or ordered by relative importance.

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来源期刊

Australasian Journal of Engineering Education Social Sciences-Education

CiteScore

6.40

自引率

0.00%

发文量