Improving Retention Rate and Success in Computer Science Scholars in a Historical Black University

提高历史悠久的黑人大学计算机科学学者的保留率和成功率

• 批准号: 2221115
• 负责人: Xiao Chang
• 金额: $ 150万
• 依托单位: Tuskegee University
• 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: 2022-10-01 至 2028-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2221115&HistoricalAwards=false
• 关键词: Improving; Retention; Rate; Success; Computer

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 Tuskegee University, a historically black university located in the “Alabama Black Belt” region. Over its 6-year duration, this project will fund scholarships to 24 unique full time students who are pursuing bachelor’s degrees in computer science and information technology. First-year students will receive four years of scholarships. This project aims to improve student retention rate, graduation rate, and academic performance in computer science by linking scholarships with effective supporting activities. This project will take steps to identify the scholars with high attrition risk employing an early-alert system that makes use of risk factors for attrition, such as attendance rate, academic outcomes, mathematics proficiency, sense of belonging in computer science programs, psychological sense of community, and perceived value of computer science. As soon as the scholars with high attrition risk are identified, the project team will make an intervention plan for each one of them, including assigning a peer tutor to help the student, offering advising by other faculty, and recommending learning resources and activities. These include academic advising, peer tutoring, peer-cooperative learning, peer mentoring, a living learning community, undergraduate research experiences, and career planning. Peer tutoring and peer-cooperative learning will assist students to become independent learners and learn course material in a deeper and more concrete way. The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. The project will investigate the effects of the factors on first-year student retention, 4-year degree completion, and academic performance. This project has the potential to advance understanding of persistence and graduation of undergraduate students in computer science programs at HBCUs. This project will be evaluated using a mixed-methods approach using formative evaluation data collected throughout the project to ensure the activities are implemented as planned and to obtain feedback that will be used for project improvement. Results of this project will be made available through websites, academic conferences, workshops, and journal publications. 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.

该项目将支持塔斯基吉大学（位于“阿拉巴马黑带”地区的一所历史悠久的黑人大学）保留和毕业有经济需要的成绩优异、低收入的学生，从而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。该项目为期 6 年，将为 24 名攻读计算机科学和信息技术学士学位的全日制学生提供奖学金。一年级学生将获得四年的奖学金。该项目旨在通过将奖学金与有效的支持活动联系起来，提高计算机科学领域的学生保留率、毕业率和学业成绩。该项目将采取措施，利用早期预警系统来识别具有高流失风险的学者，该系统利用流失的风险因素，例如出勤率、学术成果、数学水平、计算机科学项目的归属感、社区心理意识和计算机科学的感知价值。一旦确定了高流失风险的学者，项目团队将为每一位学者制定干预计划，包括指派一名同伴导师来帮助该学生、提供其他教师的建议以及推荐学习资源和活动。其中包括学术建议、同伴辅导、同伴合作学习、同伴指导、生活学习社区、本科生研究经验和职业规划。同伴辅导和同伴合作学习将帮助学生成为独立学习者并以更深入、更具体的方式学习课程材料。该项目的总体目标是提高有经济需求的低收入、成绩优异的本科生完成 STEM 学位的机会。该项目将调查这些因素对一年级学生保留率、四年制学位完成情况和学业成绩的影响。该项目有可能促进对 HBCU 计算机科学课程本科生的坚持和毕业的理解。该项目将使用混合方法进行评估，使用整个项目收集的形成性评估数据，以确保活动按计划实施并获得用于项目改进的反馈。该项目的结果将通过网站、学术会议、研讨会和期刊出版物公布。该项目由 NSF 科学、技术、工程和数学奖学金项目资助，该项目旨在增加具有经济需求的低收入学术天才学生获得 STEM 领域学位的数量。它还旨在改善未来 STEM 工作者的教育，并产生有关低收入学生的学业成功、保留、转学、毕业和学术/职业道路的知识。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。