Replication of a Cohort-Based Computer Science Bachelor's Degree Model

在NSF科学、技术、工程和数学奖学金项目的资助下，复制基于队列的计算机科学学士学位模式项目将支持加州州立大学蒙特利湾分校、加州州立大学多明格斯山庄分校、哈特内尔学院和埃尔卡米诺学院的高成就、低收入、有经济需求的学生。在整个五年中，该项目将为攻读计算机科学大专和学士学位的学生提供240个奖学金。该项目的目标是在加州州立大学多明格斯山庄和埃尔卡米诺学院内复制加州州立大学蒙特利湾学院和哈特内尔学院开发的基于队列的路径模型，并研究这两种实现方式，以促进对导致学生成功的队列模型要素的理解。该项目将研究队列支持，如学生学习社区和即时学术支持，对计算机科学领域的保留率和转移率、学士学位获得和就业成功的影响。特别是，这项研究将关注第一代、低收入和代表性不足的学生。它将产生关于这些队列计划的设计、结构和实施的最佳实践的知识。具体地说，该项目将研究队列价值观，如身份、习惯和相互关系对学生成功的影响。这一模式预计将提高女性和拉丁裔/a计算机科学专业学生的毕业率，这将对计算机科学毕业生的整体多样性产生积极影响，这将导致技术行业的多样性增加。通过这项研究产生的知识将支持在更多的机构更大规模地复制这种基于队列的模式，以服务于更多的学生。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

With funding from the NSF Scholarships in Science, Technology, Engineering, and Mathematics program, the Replication of a Cohort-Based Computer Science Bachelor's Degree Model project will support high-achieving, low-income students with demonstrated financial need at California State University Monterey Bay, California State University Dominguez Hills, Hartnell College, and El Camino College. Throughout its five years, this project will fund 240 scholarships for students who are pursuing associate's and bachelor's degrees in computer science. This project's objective is to replicate a cohort-based pathway model developed by California State University Monterey Bay and Hartnell College within California State University Dominguez Hills and El Camino College, and to study both implementations to advance understanding of the elements of the cohort model that lead to student success.This project will study the impact of cohort supports, such as student learning communities and just-in-time academic support, on retention and transfer rates, bachelor's degree attainment, and employment success in computer science. In particular, this study will focus on first-generation, low-income, and underrepresented students. It will generate knowledge about best practices for the design, structure, and implementation of these cohort programs. Specifically, the project will study the impact of cohort values such as identity, habits, and interrelationships on student success. The increase in graduation rates of women and Latino/a computer science students expected from this model will positively impact the overall diversity of computer science graduates, which will lead to increased diversity in the technology industry. The knowledge generated through this study will support larger-scale replication of this cohort-based model at additional institutions to serve a larger number of 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.