FAST-TRAC: Identifying and Overcoming Barriers to Advanced Degree Attainment for Low Income Engineering Students
FAST-TRAC:识别并克服低收入工程专业学生获得高级学位的障碍
基本信息
- 批准号:1564987
- 负责人:
- 金额:$ 100万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The FAST-TRAC program at Tufts University School of Engineering will recruit, prepare, and support academically talented low-income undergraduate students to complete an MS in Engineering through Tufts' existing 5-year BS/MS program. FAST-TRAC's core features will be early outreach, support of the student-research mentor relationship, skill-building workshops, and undergraduate research experiences. Industry partnerships will connect students to current state of the art challenges in their fields. FAST-TRAC will establish a comprehensive and transferrable support framework to prepare low-income undergraduate STEM students for the increased rigor, culture, and expectations of a graduate program.The FAST-TRAC research component will make significant contributions to the knowledge base about what inhibits and facilitates the matriculation of underrepresented and economically disadvantaged students into STEM graduate programs. This program will characterize the needs, perceptions, and research competencies of low-income students pursuing graduate Engineering degrees, and will measure the effectiveness of each program component in helping students achieve the MS degree. The project will measure the contextual supports and barriers to pursuing graduate education or securing a position in industry using the social-cognitive theory of career choice and development. This measure has been extensively used in the study of career choice and successfully applied to examine the roots of gender and ethnic disparities in STEM disciplines.
塔夫茨大学工程学院的FAST-TRAC项目将招收、准备和支持有学术天赋的低收入本科生通过塔夫茨现有的5年制BS/MS项目完成工程学硕士学位。FAST-TRAC的核心功能将是早期推广、支持学生-研究导师关系、技能培养研讨会和本科生研究经验。行业合作伙伴关系将把学生与他们所在领域的最新挑战联系起来。FAST-TRAC将建立一个全面和可转移的支持框架,为低收入本科生培养适应日益严格的研究生课程、文化和对研究生课程的期望的能力。FAST-TRAC研究部分将对知识库做出重大贡献,了解是什么阻碍和促进代表不足和经济困难的学生进入STEM研究生课程。该项目将描述低收入学生攻读工程学研究生学位的需求、认知和研究能力,并将衡量每个项目组成部分在帮助学生获得理科硕士学位方面的有效性。该项目将使用职业选择和发展的社会认知理论来衡量追求研究生教育或在行业中获得职位的背景支持和障碍。这一测量方法已被广泛用于职业选择研究,并成功地应用于研究STEM学科中性别和种族差异的根源。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Karen Panetta其他文献
P26-008-23 iDINE: A Database for Benchmarking Nutritional Dietary Assessment
- DOI:
10.1016/j.cdnut.2023.101176 - 发表时间:
2023-07-01 - 期刊:
- 影响因子:
- 作者:
Erin Hennessy;Shreyas Kamath;Sos Agian;Eleanor Shonkoff;Christina Economos;Kenneth Chui;Abigail Harrison;Srijith Rajeev;Abigail Stone;Karen Panetta - 通讯作者:
Karen Panetta
Karen Panetta的其他文献
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{{ truncateString('Karen Panetta', 18)}}的其他基金
RAPID: A Smart and Mobile Sensor Fusion Framework for Earthquake Hazard Reduction, Situational Assessment, and Relief Efforts
RAPID:用于减少地震灾害、态势评估和救灾工作的智能移动传感器融合框架
- 批准号:
1942053 - 财政年份:2019
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
INDIVIDUAL: Nomination of Dr. Karen Panetta for Innovations in Engineering Education Mentoring for Attracting and Retaining Women in Engineering through her Nerd Girls Program
个人:提名凯伦·帕内塔 (Karen Panetta) 博士为工程教育指导创新,通过她的书呆子女孩计划吸引和留住工程领域的女性
- 批准号:
1036620 - 财政年份:2012
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
A Unified Simulation and Fault Environment for Mixed Signal Systems including MEMS Components
适用于包括 MEMS 组件的混合信号系统的统一仿真和故障环境
- 批准号:
0306464 - 财政年份:2003
- 资助金额:
$ 100万 - 项目类别:
Continuing Grant
CAREER: Robust Behavioral Fault Simulation Algorithms for Multilevel Simulation
职业:用于多级仿真的鲁棒行为故障仿真算法
- 批准号:
9733584 - 财政年份:1998
- 资助金额:
$ 100万 - 项目类别:
Continuing Grant
Compression and Interaction Algorithms for Modeling and Simulation Environments
用于建模和仿真环境的压缩和交互算法
- 批准号:
9528194 - 财政年份:1996
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
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