The Computer Science as a Career (CSAC) Scholarship Program
计算机科学作为职业 (CSAC) 奖学金计划
基本信息
- 批准号:2221189
- 负责人:
- 金额:$ 493.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-08-01 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Texas A&M University (Commerce) and two community colleges in northeast Texas (Collin College and Dallas College). Over its 5-year duration, this project, the Computer Science as a Career (CSAC) Scholarship Program, will provide 179 scholarships to students who are pursuing degrees in Computer Science. The goal of this project is to increase the recruitment, retention, transfer, and graduation of academically talented students with demonstrated financial needs from diverse sociodemographic backgrounds. This goal will be accomplished by providing co-curricular activities and programs that recruit students to computing and related fields, increase the rate of transfer from local community colleges to universities, and improve the retention and graduation rates of computing students. This program will contribute to the pool of career ready professionals capable of supporting a globally competitive technical workforce.The project will encourage students to pursue and complete computing degrees and improve computational thinking skills through many existing high-quality, evidence-based program elements such as summer camps, workshops, and student mentoring programs. The project team will conduct a mixed methods research study to examine the effects of the project objectives and explore how CSAC participants in computing programs, particularly women and students from underrepresented groups, develop and sustain computing identities and persist within these fields. This research study will utilize a phenomenological approach to examine the lived experiences and computing identity development of CSAC participants. The research will focus on the computing identity development process, capturing key elements related to competence, performance, and recognition that may contribute to either the challenges to and/or the success of participants in CSAC. The results of this research will lead to a better understanding of how to improve computing education for students from underrepresented populations and how to more effectively engage with prospective students. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目将有助于国家需要受过良好教育的科学家,数学家,工程师和技术人员,通过支持高成就,低收入学生的保留和毕业,证明在得克萨斯州农工大学(商业)和两个社区学院在得克萨斯州东北部(柯林学院和达拉斯学院)的经济需要。在为期5年的时间里,该项目,计算机科学作为一个职业(CSAC)奖学金计划,将提供179奖学金谁是攻读计算机科学学位的学生。该项目的目标是增加来自不同社会人口背景的具有财务需求的学术人才的招聘,保留,转移和毕业。这一目标将通过提供课外活动和计划来实现,这些活动和计划将招收学生到计算和相关领域,增加从当地社区学院转移到大学的比率,并提高计算学生的保留率和毕业率。该计划将有助于职业准备的专业人才能够支持一个具有全球竞争力的技术劳动力池。该项目将鼓励学生追求和完成计算学位,并通过许多现有的高质量,基于证据的计划元素,如夏令营,研讨会和学生辅导计划,提高计算思维能力。项目团队将进行混合方法研究,以检查项目目标的影响,并探讨CSAC参与计算程序,特别是妇女和来自代表性不足群体的学生,如何发展和维持计算身份,并在这些领域内坚持下去。本研究将采用现象学的方法来研究CSAC参与者的生活经验和计算身份的发展。该研究将侧重于计算身份开发过程,捕捉相关的能力,性能和识别,可能有助于无论是挑战和/或成功的参与者在CSAC的关键要素。这项研究的结果将有助于更好地了解如何改善代表性不足的学生的计算教育,以及如何更有效地与未来的学生互动。该项目由NSF的科学,技术,工程和数学奖学金计划资助,该计划旨在增加低收入学术人才的数量,这些学生表现出经济需求,并获得STEM领域的学位。它还旨在改善未来STEM工作者的教育,并提供有关低收入学生的学术成功、保留、转学、毕业和学术/职业途径的知识。该奖项反映了NSF的法定使命,并且通过使用基金会的智力价值和更广泛的影响力审查标准进行评估,被认为值得支持。
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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Sang Suh其他文献
Multivariate network traffic analysis using clustered patterns
- DOI:
10.1007/s00607-018-0619-4 - 发表时间:
2018-04-28 - 期刊:
- 影响因子:2.800
- 作者:
Jinoh Kim;Alex Sim;Brian Tierney;Sang Suh;Ikkyun Kim - 通讯作者:
Ikkyun Kim
Sang Suh的其他文献
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