Inclusion of Data Science and Research in a STEM Scholarship Program

在科学，技术，工程和数学（S-STEM）计划的NSF奖学金的资助下，将数据科学和研究纳入STEM奖学金计划？将支持在新墨西哥州高地大学表现出经济需要的高成就，低收入的学生。在五年的时间里，该项目将为正在攻读生物学、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学生提供16个奖学金。学者们将参加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。 这些知识将帮助他们完成在洛斯阿拉莫斯国家实验室或国家基因组资源中心的生物信息学实习，从事为期一年的独立研究项目，并在夏季计算机科学日营中指导当地高中学生。新墨西哥州高地大学是一所公立的西班牙裔服务机构，位于新墨西哥州北方，许多学生在农村地区常见的毕业障碍中挣扎，高度贫困地区。 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提供更广泛的STEM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。学者将有机会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/或补充指导领导者，并参与本科研究。本项目将分析这些学生支持对学生参与的影响。该项目将研究学生参与的五个尺度：学术参与;智力参与;同伴参与;师生参与;和超越类的参与。该项目旨在确定如何财政支持，再加上直接的学生支持，提高学生的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领域取得成功的项目。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。

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.