Improving Decision Making and Equity in Engineering Admissions
Improving Decision Making and Equity in Engineering Admissions
批准号:
1329217
负责人:
Michael Bastedo
金额:
$27.87万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2018-08-31
中文摘要
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英文摘要
This engineering education research project seeks to explore whether college admissions files can be structured to improve the decision making of admissions officers. Psychological biases may hinder the ability of admissions officers to make ideal decisions, which could lead to the rejection of well-qualified low-income and minority students. This experimental study will examine whether changing the information included with the application, along with the order in which that information appears, will affect admissions officers' decisions about which applications to accept. The interventions developed here have the potential to be adopted within college admissions processes for engineering majors and for all students.The broader significance and importance of this project arises through the potential for simultaneously improving the quality and diversity of incoming engineering students. This project may inform not only practices in engineering admissions offices, but also the activities of important national entities such as the College Board and Common Application. This project overlaps with NSF's strategic goal for performing as a model organization by helping colleges and universities attain both excellence and inclusion. Additionally NSF's goal of innovating for society is enabled by facilitating research that informs educational policies and practices.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Research: Do Test-Optional Policies in Engineering Admissions Improve Decision Making and Equity? Empirical Research using Experimental Simulations
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批准号:2232999
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项目类别:Standard Grant
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资助金额:$35.0万
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财政年份:2023
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负责人:Michael Bastedo
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依托单位:
Research: Predicting Achievement and Improving Equity in Engineering Using Contextualized High School Performance
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批准号:1947114
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项目类别:Standard Grant
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资助金额:$25.44万
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财政年份:2020
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负责人:Michael Bastedo
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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项目类别:合作创新研究团队
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批准年份:2024
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负责人:姚韬
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