BCSER: Developing Expertise in Data Envelope Analysis (DEA) to Guide Investigations of Best Practices at HSIs Efficiently Graduating Hispanics with STEM Degrees

提高西班牙裔服务机构(HSI)拉美裔学生STEM专业的毕业率，将有助于实现扩大STEM职业领域参与度的目标。德克萨斯州立大学的目标是利用提交给国家教育统计中心(NCES)的数据，确定投资投入与拉美裔学生从拉美裔服务机构毕业的成功之间的联系。将确定与更有效地使西班牙裔学生毕业于STEM学位的机构有关的HSI投入模式，并与HSI利益攸关方进行沟通，以帮助为管理和行政实践提供信息。该项目旨在通过增加对人类安全措施实践及其对毕业成功的影响的研究来促进该领域的知识。这些知识将进一步影响美国的学术、技术和专业劳动力。该项目采用了包含数据包络分析(DEA)的优化模型，DEA是一种用于评估组织效率的技术。利用NCES综合中学后教育数据系统(IPEDS)的数据，DEA将被用来为HSIS提供一个决策框架，以有效地从资源有限的STEM专业毕业的西班牙裔学生。该项目的重要意义在于，它旨在通过确定导致STEM学生有效毕业的关键投入，帮助HSIS缓解对有限资源的频繁担忧。该项目将通过在解释DEA数据、建立数据科学技能和推进数据科学教育研究网络方面的培训，建设开展教育研究的能力。该项目通过EHR核心研究：STEM教育研究能力建设(ECR：BCSER)竞赛得到支持，该竞赛旨在培养个人在STEM学习和学习环境中开展高质量基础STEM教育研究的能力，扩大对STEM领域的参与，以及STEM劳动力发展。该奖项反映了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。

Improving graduation rates of STEM majors for Hispanic students at Hispanic Serving Institutions (HSI) will contribute to the goal of broadening participation in STEM career fields. Texas State University aims to identify links between investment inputs and success in graduating Hispanic students from Hispanic-Serving Institutions using data submitted to the National Center for Educational Statistics (NCES). Patterns in HSI inputs that are associated with institutions that are more efficient at graduating Hispanic students in STEM degrees will be identified and communicated with HSI stakeholders to help inform management and administrative practices. The project aims to advance knowledge in the field through increasing research on HSI practices and their impacts on graduation success. This knowledge will further impact the U.S. academic, technical, and professional workforce. The project employs optimized models incorporating Data Envelopment Analysis (DEA), a technique used to evaluate organizational efficiency. Using data from the Integrated Postsecondary Education Data System (IPEDS) at NCES, DEA will be used to provide a framework for decision-making at HSIs to effectively graduate Hispanic students in STEM majors with limited resources. The project is significant in that it aims to assist HSIs in mitigating the frequent concern of limited resources by identifying critical inputs that lead to effective graduation of STEM students. The project will build capacity for conducting education research through training in interpreting DEA data, building data science skills, and advancing data science education research networks. The project is supported through the EHR Core Research: Building Capacity in STEM Education Research (ECR: BCSER) competition that is designed to build individuals’ capacity to carry out high-quality fundamental STEM education research in STEM learning and learning environments, broadening participation in STEM fields, and STEM workforce development.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.