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首页> 外文期刊>NACTA Journal >Factors Influencing Choosing Food and Agriculture Related STEM Majors
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Factors Influencing Choosing Food and Agriculture Related STEM Majors

机译：影响与粮食和农业相关的STEM专业选择的因素

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摘要

The need for food safety related professionals in the food and agricultural sciences is projected to increase by 10% from 2010 to 2020. Undergraduate institutions need to meet this demand by recruiting students into science, technology, engineering and math (STEM) major areas of study that support food safety professional career paths. The predictability of factors influencing students to choose STEM and non-STEM majors in three colleges offering baccalaureate degrees related to food and agriculturesciences, liberal arts and other non-STEM majors was investigated. An online survey obtained information from students (N=458) regarding the influence of factors related to extracurricular activities, aptitude, environment, relationships, career ambitions and educational experiences on a student's choice of major. The survey data was used to generate odds ratios using logistic regression analysis. The odds ratios provided a comparison of predictors that potentially influenced a student's choice of a major when all other factors in the study were accounted for. The inclusive logistic regression model identified three predictors as highly significant (P < 0.01) in choosing a STEM major in the colleges of Arts and Sciences, Agriculture and Biological Sciences and Education and Human Sciences. The odds ratios of passion for chosen career (1.50, P<0.01), financial gain and stability (1.98, P<0.001) and high school courses (1.14, PO.001) were all highly significant. These predictable variables potentially influence recruitment strategies for universities and the educational STEM programs in high schools and introductory college courses.
机译：从2010年到2020年，食品和农业科学领域与食品安全相关的专业人员的需求预计将增长10％。本科院校需要通过招收学生进入科学，技术，工程和数学（STEM）专业领域来满足这一需求支持食品安全专业职业道路。在三所提供与食品和农业科学，文科和其他非STEM专业相关的学士学位的学院中，研究了影响学生选择STEM和非STEM专业的因素的可预测性。一项在线调查从学生（N = 458）获得了有关课外活动，才能，环境，人际关系，职业抱负和教育经历等因素对学生选择专业的影响的信息。调查数据用于通过逻辑回归分析生成比值比。当考虑了研究中的所有其他因素时，比值比提供了对可能影响学生选择专业的预测变量的比较。包容性逻辑回归模型确定了三个预测因子，在选择文理学院，农业和生物科学学院以及教育和人文科学学院的STEM专业时，它们具有非常重要的意义（P <0.01）。所选职业的激情（1.50，P <0.01），财务收益和稳定性（1.98，P <0.001）和高中课程（1.14，PO.001）的优势比均非常重要。这些可预测的变量可能会影响大学的招聘策略以及高中和大学入门课程的STEM教育计划。

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