Community, Identity, and Competence: Supporting Low-Income Students in Computing and the Data Sciences at the University of Connecticut

社区、身份和能力：支持康涅狄格大学计算机和数据科学领域的低收入学生

• 批准号: 2322495
• 负责人: Daniel Burkey
• 金额: $ 249.94万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2029-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322495&HistoricalAwards=false
• 关键词: Community; Identity; Competence; Supporting; Low

This project will contribute to the regional and national need for graduates in computing and data science and will increase both the retention and graduation rates for low-income and first-generation students in these majors at the University of Connecticut (UConn). Over the 6-year duration of the grant, three cohorts of students will be served, for a total of 28 S-STEM scholars over the project lifetime. Students in the project will participate in an introductory support course as first-year students. With the help of faculty and peer mentors, scholars will improve their research experiences, career readiness, and entrepreneurship; all of which will lead to positive post-graduation outcomes, including full-time employment or post-graduate studies. This project has the potential to expand access to higher education to a broad group of students and will also generate knowledge and best practices in supporting STEM majors in their programs of study. By partnering with local and regional companies that hire computing and data science majors, this project also fosters partnerships between academia and industry and supports the local and national workforce development efforts in computing and data sciences, areas critical to the national interest.This project will recruit eligible students from eight majors across two schools at UConn and engage them in high-quality programming designed to improve retention and graduation rates, build community, promote STEM identity, and develop students’ competence through experiential learning opportunities. Students selected as S-STEM Scholars will engage with a variety of programming developed by the PIs. Working together and with a strong foundation in the literature, the College of Liberal Arts and Sciences (CLAS), the School of Engineering (SOE), and the Institute for Student Success (ISS) will focus on three foundational activities: Cohort Formation, Discipline-Based Exploration and Academic Support, and Mentoring. These activities in turn support the three core values the project aims to instill in its S-STEM Scholars: Community, Identity, and Competence. At the heart of cohort formation is the S-STEM Student Success course that forms the framework of early engagement with S-STEM Scholars. This course will establish the S-STEM Scholars as a cohort and support students’ development of community and identity. The scholars will explore different pathways and skills development through research opportunities, internships or co-ops, and post-graduation preparation, all of which develop students’ competencies as STEM practitioners. All of these activities are documented via an e-portfolio that supports students’ construction of their knowledge and identity, while providing a robust tool for program evaluation and knowledge generation. 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.

该项目将有助于区域和国家对计算和数据科学毕业生的需求，并将提高康涅狄格大学（UCONN）的这些专业的低收入和第一代学生的保留率和毕业率。在这笔赠款的6年期间，将为三个学生提供服务，在整个项目一生中，总共有28个S-STEM学者。该项目的学生将参加一年级学生的介绍支持课程。在教师和同伴导师的帮助下，学者将改善他们的研究经验，职业准备和企业家精神；所有这些都将带来积极的毕业后成果，包括全日制就业或研究生学习。该项目有可能将高等教育的机会扩展到一群学生，还将在支持STEM专业的学习计划中产生知识和最佳实践。 By partnering with local and regional companies That hire computing and data science majors, this project also fosters partnerships between academia and industry and supports the local and national workforce development efforts in computing and data sciences, areas critical to the national interest.This project will recruit eligible students from eight majors across two schools at UConn and engage them in high-quality programming designed to improve retention and graduation rates, build community, promote STEM identity, and develop students’ competence通过经验丰富的学习机会。被选为S-STEM学者的学生将与PIS开发的各种编程互动。文学学院（CLAS），工程学院（SOE）和学生成功学院（ISS）将共同努力，并在文献中共同努力，并在文献中建立了坚实的基础，将重点介绍三个基础活动：同类组成，基于学科的探索和学术支持和指导。这些活动反过来支持该项目旨在灌输其S-STEM学者的三个核心价值观：社区，身份和能力。队列组的核心是S型学生的成功课程，该课程构成了早期与S型学者互动的框架。本课程将建立S-STEM学者作为一名同伙，并支持学生对社区和身份的发展。学者将通过研究机会，实习或合作社以及毕业后的准备来探索不同的途径和技能发展，所有这些都会发展学生作为STEM实践者的能力。所有这些活动都是通过电子港口组合记录的，该电子港口支持学生的知识和身份，同时为程序评估和知识的产生提供了强大的工具。该项目由NSF在科学，技术，工程和数学计划方面的奖学金提供资金，该计划旨在增加具有证明经济需求的低收入学术才华的学生人数，他们在STEM领域获得了学位。它还旨在改善未来STEM工人的教育，并为低收入学生的学术成功，保留，转移，毕业以及学术/职业途径提供知识。这项奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来通过评估来支持的。