Scholarships To Improve Undergraduate Students' Academic Achievement, Retention, and Career Success in Computer Science and Artificial Intelligence

该项目将通过支持旧金山州立大学（San Francisco State University）表现出经济需求的高成就、低收入家庭学生的保留和毕业，为全国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。这所大学是加州州立大学系统23个校区之一，被指定为西班牙裔服务机构。该项目为期四年，将为80名攻读计算机科学学士学位的一年级全日制学生提供为期一年的奖学金。该项目将支持一个三管齐下的支持系统，以确保学生在第一年在学术、社交和专业方面取得稳定的进步。这个支持系统将包括学术咨询、冬季和夏季课程、课外活动和专业发展活动。该项目有可能扩大低收入家庭学生在人工智能和计算机科学领域的参与，并提高美国人工智能领域的经济竞争力。这个项目的结果对于其他高等教育机构来说可能是有价值的，这些高等教育机构希望在他们的人工智能/计算机科学项目中增加不同社会经济背景的学生的保留。该项目的总体目标是提高有经济需求的低收入、高成就本科生的STEM学位完成率。实现项目目标的目标是：(1)通过密集和有针对性的学术和专业咨询来提高信息公平；(2)通过提供人工智能的早期接触、职业指导以及研究和行业经验的课外活动，提高学术和专业的自我效能感；(3)培养学生作为计算机科学家的归属感和认同感，帮助他们成为计算机科学社区的一部分，并通过展示榜样和社会公益项目使计算机科学和人工智能人性化。学生作为计算机科学家的认同感已经被证明对他们在该领域的坚持和成功至关重要，特别是对于来自代表性不足的群体的学生。然而，我们对学生培养积极的计算机科学认同感的机制知之甚少。本项目将调查低收入家庭学生的计算机科学认同感是否以及如何在他们本科计算机科学学习的第一年发生变化，以及更强的计算机科学认同感是否预示着计算机科学专业的更高保留率。还将研究早期人工智能接触对学生成绩和保留率的影响。包括形成性和总结性成分的混合方法将用于评估项目的可接受性、可行性和有效性。作为该项目的一部分开发的资源将通过该项目的网站传播，该项目的结果将通过人工智能和计算机科学教育的期刊和会议出版物传播。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。

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 San Francisco State University. This university is one of the 23 campuses of the California State University system and is designated as a Hispanic-serving institution. Over its four-year duration, this project will provide one-year scholarships to 80 first-year, full-time students who are pursuing bachelor’s degrees in computer science. The project will support a three-pronged wrap-around support system that ensures students make steady academic, social, and professional progress in the first year. This support system will include academic advising, winter and summer programs, co-curricular activities, and professional development activities. The project has the potential to broaden the participation of low-income students in the fields of artificial intelligence and computer science and to increase the economic competitiveness of the US artificial intelligence sector. The results from this project may be valuable for other higher education institutions seeking to increase retention of socioeconomically diverse students in their artificial intelligence/computer science programs. The overall goal of this project is to increase STEM degree completion of low-income, high achieving undergraduates with demonstrated financial need. The objectives through which the project goal will be realized are: (1) to improve information equity through intensive and tailored academic and professional advising; (2) to increase academic and professional self-efficacy through co-curricular activities that provide early exposure to, career coaching in, and research and industry experiences in artificial intelligence; (3) to develop students’ sense of belonging and identity as computer scientists by helping them become part of the computer science community and by humanizing computer science and artificial intelligence via showcasing role models and social good projects. Students’ sense of identity as computer scientists has been shown to be critical to their persistence and success in the field, especially for students from underrepresented populations. However, little is known about the mechanisms by which students develop a positive sense of computer science identity. This project will investigate if and how low-income students’ sense of computer science identity changes during their first year of undergraduate computer science study, and if a stronger sense of computer science identity predicts greater retention in the computer science major. The impact of early artificial intelligence exposure on student’s achievement and retention will also be studied. A mixed-methods approach including both formative and summative components will be used to evaluate the acceptability, feasibility, and effectiveness of the project. The resources developed as part of this project will be disseminated through the project website, and the results from the project will be disseminated through publications in journals and at conferences in artificial intelligence and computer science education. 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.