Collaborative Research: Human-Centered Computing Scholars: Need-based, Extensive Support Through Degree Completion

协作研究：以人为本的计算学者：通过学位完成提供基于需求的广泛支持

• 批准号: 1833743
• 负责人: Krystal Williams
• 金额: $ 7.54万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1833743&HistoricalAwards=false
• 关键词: Collaborative; Research; Human; Centered; Computing

Development of a diverse, globally competitive STEM workforce remains an important national priority. At present, this need is especially pressing in the areas of computer/ information science and engineering. Research has shown that, in comparison to students in other STEM fields, more computing/information science students are from families with incomes in the bottom 25% of the population. This five-year project will address the need for highly-qualified computer/information professionals by supporting thirty high-achieving, low-income students with demonstrated financial need who are pursuing doctorate degrees in computing fields. By providing up to five years of scholarship support, as well as mentoring and professional development support, the program aims to overcome four barriers faced by low-socioeconomic status students in PhD programs: (1) financial concerns; (2) negative psychological effects; (3) inadequate advisement; and (4) unequal socialization efforts. The project expects that the graduates will enter STEM jobs in industry, government, or academia within 12 months of graduation. Thus, this project will help to develop a diverse, highly-qualified computing workforce.The project builds upon previous NSF awards and existing resources for student recruitment, community building, and STEM workforce development. This project includes newer programming in which Scholars will form a unified cohort as the backbone of their support, supplemented by faculty mentoring, relevant academic and professional development workshops, external support, demographic-specific support for intersectional identities, and sustained engagement past the PhD through an online career tracking portal. Faculty development activities are also included to help improve the climate for diverse students and faculty within the Computer and Information Science and Engineering (CISE) Department. The objectives of the project are to 1) improve the retention and graduation rates of low-income students in PhD programs in the CISE Department, 2) equip Scholars to obtain STEM employment within 12 months of graduation, and 3) improve the culture and climate for diversity and inclusion for PhD students within the CISE Department. The project will advance knowledge concerning computer science identity and research identity, while also addressing gaps in the literature regarding the measurement of computer science identity of graduate students. This project will also generate new knowledge concerning how graduate students' economic status and college campus climate relate to both computer science and research identities. This information can help institutions better understand associations between these critical factors and student outcomes to improve graduate education in computer/information science and engineering. 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 scientists, engineers, and technicians, 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.

发展多元化、具有全球竞争力的 STEM 劳动力仍然是国家的重要优先事项。 目前，这种需求在计算机/信息科学与工程领域尤为迫切。 研究表明，与其他 STEM 领域的学生相比，更多计算机/信息科学专业的学生来自收入处于人口最低 25% 的家庭。 这个为期五年的项目将通过支持 30 名成绩优异、有经济需要、正在攻读计算机领域博士学位的低收入学生来满足对高素质计算机/信息专业人员的需求。 通过提供长达五年的奖学金支持以及指导和专业发展支持，该计划旨在克服社会经济地位较低的博士生学生面临的四个障碍：（1）经济问题； (2)负面心理影响； (3) 咨询意见不足； (4) 不平等的社会化努力。 该项目预计毕业生将在毕业后12个月内进入工业界、政府或学术界的STEM工作岗位。因此，该项目将有助于培养一支多元化、高素质的计算劳动力队伍。该项目建立在之前的 NSF 奖项以及用于学生招募、社区建设和 STEM 劳动力发展的现有资源的基础上。该项目包括更新的计划，其中学者将组成一个统一的群体作为他们的支持支柱，并辅以教师指导、相关学术和专业发展研讨会、外部支持、针对交叉身份的特定人口支持，以及通过在线职业跟踪门户持续参与博士学位。教师发展活动也包括在内，以帮助改善计算机与信息科学与工程（CISE）系内多元化学生和教师的氛围。 该项目的目标是 1) 提高低收入学生在 CISE 系博士课程中的保留率和毕业率，2) 使学者能够在毕业后 12 个月内获得 STEM 就业，以及 3) 改善 CISE 系内博士生多元化和包容性的文化和氛围。该项目将增进有关计算机科学身份和研究身份的知识，同时解决有关研究生计算机科学身份测量的文献空白。该项目还将产生有关研究生的经济状况和大学校园氛围如何与计算机科学和研究身份相关的新知识。这些信息可以帮助机构更好地了解这些关键因素与学生成绩之间的关联，以改善计算机/信息科学与工程的研究生教育。 该项目由 NSF 的科学、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。 它还旨在改善未来科学家、工程师和技术人员的教育，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。