Inclusion of Data Science and Research in a STEM Scholarship Program

在美国国家科学基金会科学、技术、工程和数学奖学金（S-STEM）项目的资助下，？将数据科学与研究纳入STEM奖学金计划？将支持新墨西哥高地大学表现优异、有经济需求的低收入家庭学生。在五年的时间里，该项目将为攻读生物学、化学、计算机科学、数学或环境地质学学士学位的大三和大四本科生提供16个奖学金。这些学者将学习跨学科的数据科学课程，在那里他们将学习分析大型数据集所需的计算技能。这些知识将为他们在洛斯阿拉莫斯国家实验室或国家基因组资源中心完成生物信息学实习做好准备，从事为期一年的独立研究项目，并指导当地高中生参加暑期计算机科学日营。新墨西哥高地大学（New Mexico Highlands University）是一所位于新墨西哥州北部的公立西班牙裔服务机构，在那里，许多学生都面临着在农村、高度贫困地区常见的毕业障碍。该项目旨在通过提供财政援助和学术支持，支持学者获得高质量的教育。由于STEM学科使用数据科学来分析和解决复杂问题，因此了解数据科学可能会为学者在STEM中提供更广泛的职业机会。为了帮助学生发展数据科学技能，该项目旨在将数据科学的教育和研究机会结合起来。学者将获得学术支持和丰富的机会，包括接受补充指导和/或辅导，担任导师和/或补充指导领导，以及参与本科生研究。本项目将分析这些学生支持对学生参与的影响。该项目将检查学生参与的五个尺度：学术参与；知识参与;同行参与;师生参与;课堂之外的参与。该项目旨在确定经济支持与学生直接支持如何提高学生参与度和成功完成学位。该项目的最终目标是开发一个最能帮助HSI学生在STEM中取得成功的项目。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。

With funding from the NSF Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM) program, the ?Inclusion of Data Science and Research in a STEM Scholarship Program? will support high-achieving, low-income students with demonstrated financial need at New Mexico Highlands University. Throughout its five years, this project will fund 16 scholarships for junior and senior undergraduate students who are pursuing bachelor's degrees in Biology, Chemistry, Computer Science, Mathematics, or Environmental Geology. The scholars will take an interdisciplinary data science course, where they will learn computational skills needed to analyze large data sets. This knowledge will prepare them to complete a bioinformatics internship at Los Alamos National Lab or the National Center for Genome Resources, work on a year-long independent research project, and to mentor local high school students in a summer computer science day-camp.New Mexico Highlands University is a public, Hispanic-Serving Institution in northern New Mexico, where many students struggle with barriers to graduation that are common in rural, high-poverty areas. This project seeks to support scholars to obtain a high-quality education, by providing financial aid and academic support. Because STEM disciplines use data science to analyze and solve complex problems, understanding data science may give scholars broader career opportunities in STEM. To help students develop data science skills, this project aims to incorporate both educational and research opportunities in data science. Scholars will have access to academic supports and enrichment opportunities, including receiving supplemental instruction and/or tutoring, working as a tutor and/or supplemental instruction leader, and participating in undergraduate research. This project will analyze the impact of these student supports on student engagement. The project will examine five scales of student engagement: academic engagement; intellectual engagement; peer engagement; student-faculty engagement; and beyond-class engagement. The project aims to determine how financial support, coupled with direct student supports, increases student engagement and successful degree completion. The ultimate project goal is to develop a program that best assists HSI students to achieve success in STEM.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.