Democratizing Access to the Emerging Interdisciplinary Tech Workforce for Low-Income Science Majors

使低收入科学专业的新兴跨学科技术劳动力民主化

基本信息

  • 批准号:
    2130101
  • 负责人:
  • 金额:
    $ 132.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2027-09-30
  • 项目状态:
    未结题

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 in the College of Science and Technology (CST) at Temple University. In particular the project intends to provide 96 scholarships to support 32 unique scholarship recipients to support the completion of STEM degrees in chemistry, biology, physics, mathematics, and earth and environmental sciences coupled with a minor in information science. The driving force behind the project team's efforts is to democratize access to economic opportunities in the technology-focused STEM workforce for high-achieving, low-income students. Lack of knowledge and skills in information sciences can be a barrier to workforce competitiveness and to economic mobility for low-income students. To overcome this barrier, the project leaders have identified intentional, multidisciplinary academic pathways that provide high-achieving, low-income students with the ability to focus on their chosen primary STEM major, such as biology or earth science, in combination with specialized study in information science. Such integrated academic pathways align with emerging needs for scientists to have more knowledge and skills in information science to collect, represent, analyze, and discover meaningful models by applying computational solutions to large data sets. The project hypothesizes that providing financial support to explore pathways for integrated study of STEM and information science, supported through cohort-based curricular and co-curricular activities, can ultimately lead to higher STEM degree attainment and workforce entry among low-income students. Through this project, researchers will develop and implement a model program that supports students from low-income backgrounds to complete academic degree programs with clearly identified academic pathways that promote degree attainment for undergraduate STEM majors and add value through integrated study of information science. The approach builds on evidence-based practices that have been shown to positively impact individual student outcomes; program elements are designed to emphasize connections across disciplines, integrate socially relevant applications of content knowledge, connect to professional practices, and develop identity and community through service-learning projects. Additionally, the program is also designed to broaden participation of underrepresented groups in computing, with program elements that implement evidence-based approaches for diversity, equity, and inclusion in STEM education. The project will advance knowledge about the perceptions of STEM majors in choosing to pursue integrated academic pathways, as well as the impact on academic and workforce preparation for STEM students who complete such pathways. 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.
该项目将通过支持在天普大学科技学院(CST)取得优异成绩的低收入学生的保留和毕业,为满足国家对受过良好教育的科学家、数学家、工程师和技术人员的需求做出贡献。该计划特别打算提供96个奖学金,以支持32名独特的奖学金获得者,以支持他们完成化学、生物、物理、数学、地球和环境科学等STEM学位,并辅修信息科学。项目团队的努力背后的驱动力是使高成就的低收入学生在以技术为重点的STEM劳动力中获得经济机会的民主化。缺乏信息科学方面的知识和技能可能成为低收入学生劳动力竞争力和经济流动性的障碍。为了克服这一障碍,项目负责人已经确定了有意的多学科学术途径,为成绩优异的低收入学生提供专注于他们选择的主要STEM专业(如生物学或地球科学)的能力,并结合信息科学的专业学习。这种综合的学术途径与科学家在信息科学方面的新需求相一致,科学家需要掌握更多的知识和技能,通过将计算解决方案应用于大型数据集来收集、表示、分析和发现有意义的模型。该项目假设,通过基于队列的课程和课外活动提供财政支持,探索STEM和信息科学综合研究的途径,最终可以使低收入学生获得更高的STEM学位并进入劳动力市场。通过该项目,研究人员将开发和实施一个示范项目,支持低收入背景的学生完成具有明确学术途径的学术学位课程,促进STEM本科专业的学位获得,并通过信息科学的综合研究增加价值。该方法建立在以证据为基础的实践上,这些实践已被证明对学生的个人成绩有积极影响;课程元素旨在强调跨学科的联系,整合内容知识的社会相关应用,连接专业实践,并通过服务学习项目发展身份和社区。此外,该项目还旨在扩大未被充分代表的群体在计算机领域的参与,通过在STEM教育中实施基于证据的方法来实现多样性、公平性和包容性。该项目将提高对STEM专业学生选择综合学术途径的认识,以及对完成这些途径的STEM学生的学术和劳动力准备的影响。该项目由美国国家科学基金会的科学、技术、工程和数学奖学金项目资助,旨在增加有经济需求的低收入学术天才学生在STEM领域获得学位的人数。它还旨在改善未来STEM工作者的教育,并为低收入学生提供有关学业成功、留校、转学、毕业和学术/职业道路的知识。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识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

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Jamie Payton其他文献

Improvement in Lactation with Traditional Chinese Medicine and Western Herbal Medicine : A Case Study
中药和西药改善哺乳情况:案例研究
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Kassianos;E. Ward;A. Rojas;Allison N. Kurti;F. Mitchell;Dian Nostikasari;Jamie Payton;Julian Pascal;C. Spears;C. Notley
  • 通讯作者:
    C. Notley
HCCS 2020: 2nd Workshop on Human-Centered Computational Sensing - Program
HCCS 2020:第二届以人为中心的计算传感研讨会 - 议程
A Termination Detection Protocol for Use in Mobile Ad Hoc Networks
  • DOI:
    10.1023/b:ause.0000049209.28933.b3
  • 发表时间:
    2005-01-01
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Gruia-Catalin Roman;Jamie Payton
  • 通讯作者:
    Jamie Payton
Mirror Mentoring: Black Women’s Experiences Serving as Mentors for Black Girls During a Virtual Computer Science Camp
镜像指导:黑人女性在虚拟计算机科学营中担任黑人女孩导师的经历
Research on Equity and Sustained Participation in Engineering, Computing, and Technology, RESPECT 2020, Portland, OR, USA, March 10-11, 2020
工程、计算和技术领域的公平和持续参与研究,RESPECT 2020,美国俄勒冈州波特兰,2020 年 3 月 10-11 日

Jamie Payton的其他文献

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{{ truncateString('Jamie Payton', 18)}}的其他基金

Collaborative Research: Conference: 2023 CISE Education and Workforce PI and Community Meeting
协作研究:会议:2023 年 CISE 教育和劳动力 PI 和社区会议
  • 批准号:
    2318592
  • 财政年份:
    2023
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
Collaborative Research: CSforAll:RPP: Expanding Inclusive CS Education through the Jumpstarting Philadelphia CSforAll Researcher Practitioner Partnership
合作研究:CSforAll:RPP:通过启动费城 CSforAll 研究人员实践者合作伙伴关系扩大包容性计算机科学教育
  • 批准号:
    2219443
  • 财政年份:
    2022
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
Addressing Preparation Gaps and Promoting Culturally Relevant Teaching to Support Diverse Groups in Computing Courses
解决准备差距并促进文化相关的教学,以支持不同群体的计算机课程
  • 批准号:
    2142314
  • 财政年份:
    2022
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
Collaborative Research: Conference: 2022 CISE Education and Workforce PI and Community Meetings
协作研究:会议:2022 年 CISE 教育和劳动力 PI 和社区会议
  • 批准号:
    2224226
  • 财政年份:
    2022
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
REU Site: Research Experiences in Pervasive Computing for Smart Health, Safety, and Well-being
REU 网站:普适计算促进智能健康、安全和福祉的研究经验
  • 批准号:
    2150152
  • 财政年份:
    2022
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
S-STEM Research Hub: Investigating How Low-Income Students Approach Non-Tuition Expenses
S-STEM 研究中心:调查低收入学生如何处理非学费费用
  • 批准号:
    2137824
  • 财政年份:
    2022
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Continuing Grant
Collaborative Research: BPC-AE: STARS: Catalyzing Action-Oriented Academic Communities for Broadening Participation in Computing
协作研究:BPC-AE:STARS:催化以行动为导向的学术社区,扩大计算参与
  • 批准号:
    2137338
  • 财政年份:
    2021
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Continuing Grant
Examining the Effects of Course Climate, Active Learning, and Intersectional Identities on Undergraduate Student Success in Computing
检查课程气氛、主动学习和交叉身份对本科生计算机成功的影响
  • 批准号:
    2111113
  • 财政年份:
    2021
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
PECSI: Pathways for Equitable Computer Science Instruction
PECSI:公平计算机科学教学的途径
  • 批准号:
    2122510
  • 财政年份:
    2021
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant
Collaborative Research: CSforAll:RPP: Jumpstarting Philadelphia CSforAll through a Researcher Practitioner Partnership
协作研究:CSforAll:RPP:通过研究人员从业者合作伙伴关系推动费城 CSforAll
  • 批准号:
    2031342
  • 财政年份:
    2020
  • 资助金额:
    $ 132.35万
  • 项目类别:
    Standard Grant

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