Supporting Student Success and Increasing Diversity in Computer Science

支持学生的成功并增加计算机科学的多样性

基本信息

  • 批准号:
    1741954
  • 负责人:
  • 金额:
    $ 99.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-04-15 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

With funding from the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, this project will support high-achieving, low-income students with demonstrated financial need at university of Texas San Antonio (UTSA). Throughout its five years, this project will fund 62 scholarships for students who are first-year and upper division students majoring in computer science. Increasing the diversity of perspectives in the nation's pool of computer science graduates is strategically important to the nation's prosperity and welfare. Engagement of underrepresented female and minority students in the computer science workforce is needed to help eliminate implicit bias in the systems developed. A lack of role models and mentors, failure to connect with other students and faculty, and low use of campus resources pose challenges for students who are the first in their families to pursue higher education. Difficulty with the transition to large, impersonal, rigorous courses and financial stress pose added challenges. UTSA is the largest minority-serving institution in South Texas and has a large first-generation enrollment. The project will investigate the integration of evidence-based and experience-based activities over multiple years, taking into account the needs of the individual participants. The goal of this S-STEM Track 2 project is to increase the number of high-achieving, low-income students majoring in computer science at the University of Texas San Antonio (UTSA) who join the workforce or pursue advanced studies in computer science. The project objectives include (a) developing new methods and surveys to better identify the academic needs of individual students, (b) monitoring the academic progress of each participant, and (c) integrating multiple activities based upon the learning needs and progress of individual participants. Through research-based and experience-based, student-centered educational activities, UTSA aims to increase the retention of students majoring in computer science from 70% to 90%. It also aims to improve the student graduation rate from 60% to 80%. Personalized faculty and peer mentoring, individual tutoring, a week-long orientation "jump start" program, biweekly group meetings, conference attendance, and involvement in research projects will complement other high-impact practices to support student engagement and success. The progress of each student will be tracked. Individualized, early interventions will be initiated to keep all scholars on track to complete their degrees and proceed to the technical workforce or pursue advanced studies in computer science. Scholars will be encouraged to participate in recruiting and outreach events to share their own stories and provide role models for others. This combination of activities has the potential to significantly improve the retention and graduation of high-achieving, low-income students, and provide sustainable solutions to advancing STEM education.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.
在科学,技术,工程和数学(S-STEM)计划的NSF奖学金的资助下,该项目将支持德克萨斯大学圣安东尼奥(UTSA)表现出经济需求的高成就,低收入学生。在五年的时间里,该项目将为计算机科学专业的一年级和高年级学生提供62个奖学金。增加国家计算机科学毕业生的观点多样性对国家的繁荣和福利具有重要的战略意义。在计算机科学劳动力中,女性和少数民族学生的参与不足,这有助于消除所开发系统中的隐含偏见。 缺乏榜样和导师,未能与其他学生和教师联系,以及校园资源利用率低,这些都给家庭中第一个接受高等教育的学生带来了挑战。过渡到大型,非个人化,严格的课程和财务压力的困难构成了额外的挑战。UTSA是南德克萨斯州最大的少数民族服务机构,拥有大量的第一代入学人数。该项目将调查多年来将循证活动和经验活动结合起来的情况,同时考虑到个别参与者的需要。 这个S-STEM轨道2项目的目标是增加在德克萨斯大学圣安东尼奥(UTSA)计算机科学专业的高成就,低收入学生的数量,他们加入劳动力队伍或在计算机科学方面进行深造。该项目的目标包括:(a)制定新的方法和调查,以更好地确定个别学生的学习需求;(B)监测每个参与者的学习进度;(c)根据个别参与者的学习需求和进度,整合多种活动。通过以研究为基础,以经验为基础,以学生为中心的教育活动,UTSA的目标是将计算机科学专业学生的保留率从70%提高到90%。它还旨在将学生毕业率从60%提高到80%。个性化的教师和同伴指导,个别辅导,为期一周的方向“跳跃启动”计划,双周小组会议,会议出席,并参与研究项目将补充其他高影响力的做法,以支持学生的参与和成功。每个学生的学习进度都将被跟踪。将启动个性化的早期干预措施,以使所有学者都能顺利完成学位,并进入技术队伍或进行计算机科学的高级研究。将鼓励学者参加招聘和外联活动,分享自己的故事,并为他人提供榜样。这一系列活动有可能显著提高成绩优异的低收入学生的保留率和毕业率,并为推进STEM教育提供可持续的解决方案。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
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Turgay Korkmaz其他文献

A Hybrid Trust Management System for automated fine-grained access control
用于自动化细粒度访问控制的混合信任管理系统
Intersection characteristics of end-to-end Internet paths and trees
端到端互联网路径和树的交叉特征
Single packet IP traceback in AS-level partial deployment scenario
AS级部分部署场景单包IP回溯
Highly responsive and efficient QoS routing using pre- and on-demand computations along with a new normal measure
使用预计算和按需计算以及新的正常测量来实现高度响应和高效的 QoS 路由
  • DOI:
    10.1016/j.comnet.2006.04.006
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yan;Turgay Korkmaz;Wenhua Dou;Jing Tian
  • 通讯作者:
    Jing Tian
Batch forwarding in wireless sensor networks
无线传感器网络中的批量转发

Turgay Korkmaz的其他文献

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{{ truncateString('Turgay Korkmaz', 18)}}的其他基金

Collaborative Research: SaTC-EDU: Integrating Cybersecurity in Computing Curricula: A Software PBL-Driven Approach with Focus on Identity and Access Management (IAM)
合作研究:SaTC-EDU:将网络安全集成到计算课程中:以身份和访问管理 (IAM) 为重点的软件 PBL 驱动方法
  • 批准号:
    2302615
  • 财政年份:
    2023
  • 资助金额:
    $ 99.94万
  • 项目类别:
    Standard Grant

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