A Comparative Study of Engineering Matriculation Practices

工程预科实践的比较研究

• 批准号: 1025171
• 负责人: Matthew Ohland
• 金额: $ 40万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1025171&HistoricalAwards=false
• 关键词: Comparative; Study; Engineering; Matriculation; Practices

This engineering education research project is an explanatory study of how engineering major selection and graduation outcomes are affected by the mode of matriculation into engineering and the manner that students are advised. Twelve universities will be involved, contributing to a large dataset. The work plans to investigate multiple first year curriculum models and make recommendations to the broader community on ways to improve retention and six year graduation rates. A variety of input variables (such as high school GPS and standardized test scores) will be used to measure educational outcomes and environmental factors of matriculating students. Ultimately the research conducted during this project may provide engineering institutions with both quantitative and qualitative information on how to design engineering coursework, and provide institutions with a way to explore matriculation models that allow students to succeed in given engineering programs.The broader significance and importance of this project, if successful, may be to allow universities to better tailor first year courses and programs to their own institutional beliefs and needs. The number of students to drop or transfer from engineering programs may decline, leading to more engineers ready to tackle tomorrow's societal and technical challenges.

这个工程教育研究项目是对工程专业的选择和毕业结果如何受到工程入学模式和学生被建议的方式的影响的解释性研究。12所大学将参与其中，形成一个庞大的数据集。这项工作计划调查多种第一年课程模式，并就如何提高留校率和六年毕业率向更广泛的社区提出建议。各种输入变量（如高中GPS和标准化考试成绩）将被用来衡量入学学生的教育成果和环境因素。最终，在本项目中进行的研究可以为工程院校提供关于如何设计工程课程的定量和定性信息，并为院校提供一种探索入学模式的方法，使学生能够在给定的工程课程中取得成功。这个项目的更广泛的意义和重要性，如果成功的话，可能会让大学更好地根据自己的机构信仰和需求定制第一年的课程和项目。从工程专业退学或转学的学生数量可能会下降，这将导致更多的工程师准备好应对未来的社会和技术挑战。