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THE USE OF THE SOCIAL COGNITIVE CAREER THEORY TO PREDICT ENGINEERING STUDENTS' MOTIVATION IN THE PRODUCED PROGRAM

机译:社会认知职业理论的使用预测工程学生在生产计划中的动机

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Within the state of Virginia, an initiative to increase the number of engineering students exists via a program called PRODUCED. PRODUCED is an outreach from the University of Virginia (UVA) School of Engineering and Applied Science (SEAS). PRODUCED was initially established to help fill an engineering gap being realized in the Lynchburg, Virginia area, with program roots dating back to 2007; the first graduates are expected in the spring of 2012. To measure the expectations of the students, a portion of Lent and Brown's Social Cognitive Career Theory (SCCT) model was used. A quantitative survey was developed and sent to students at five community colleges in the state of Virginia. The purpose of the study was to test the predictive relationship among four variables (self-efficacy, outcome expectations, interests, and goals) of the SCCT model and to measure participants' motivation to pursue engineering degrees and careers. The data from 68 responses were analyzed using internal consistency measures, descriptive statistics, correlations, factor analyses, and multiple regression. KMO and Barlett's Test yielded significant results to allow factor analyses. The mean of all four variables were above the mid-point of five-point Likert scale. Intercorrelation among the four variables is significant. Cronbach's alpha of four variables ranged from .75 to .91. Three regression models were used to measure the predictive relationship among the four variables, and all the models yielded significant results. All of the assumptions of regression were reasonably met. However, outcome expectations were not a good predictor of goals. The success of students in 2+2 programs is important; knowing the extent to which students are motivated toward a career goal and then understanding what motivates them is critical to this success. This work provides valuable information as a first step in knowing how to measure student motivation to persist and to determine further research necessary to understand that motivation.
机译:在弗吉尼亚州的州内,通过一个名为生产的计划,增加工程学生人数的倡议。制作是弗吉尼亚大学(UVA)工程和应用科学学院(SEA)的外联。最初建立生产,以帮助填补在弗吉尼亚州林堡地区的工程差距,编程罗斯追溯到2007年;第一批毕业生预计将在2012年春季。为了衡量学生的期望,使用了一部分借出的借出和棕色的社会认知职业理论(SCCT)模型。在弗吉尼亚州的五个社区学院开发了一个定量调查并向学生发送给学生。该研究的目的是测试SCCT模型的四个变量(自我效能,结果,利益,目标,目标)之间的预测关系,并衡量参与者追求工程学位和职业的动机。使用内部一致性测量,描述性统计,相关性,因子分析和多元回归分析来自68个响应的数据。 KMO和Barlett的测试产生了显着的结果,以便分析。所有四个变量的平均值高于五点李克特量表的中点。四个变量中的互相关是显着的。 Cronbach的四个变量的alpha从.75到.91。三种回归模型用于测量四个变量之间的预测关系,所有模型都产生了显着的结果。回归的所有假设都是合理的。然而,结果期望不是一个良好的目标预测因素。学生的成功在2 + 2节目中是重要的;了解学生对职业目标的激励程度,然后了解他们的激励是什么对这一成功至关重要。这项工作提供了有价值的信息作为了解如何衡量学生动机的第一步,并确定要理解这种动机所需的进一步研究。

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