Infusing Data Science into Undergraduate STEM Education

将数据科学融入本科 STEM 教育

• 批准号: 1917002
• 负责人: Petra Taylor
• 金额: $ 279.14万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1917002&HistoricalAwards=false
• 关键词: Infusing; Data; Science; into; Undergraduate

With support from the Accelerating Discovery program, this project will develop methods and materials for infusing data science instruction within the undergraduate STEM curriculum. Infusion of data science will begin with the earliest STEM calculus prerequisite courses and continue through capstone experiences. Targeted courses include existing STEM classes in science, mathematics, and engineering. Progressions through STEM curricula will be developed to provide students with data science competencies including acquiring, managing, analyzing, visualizing, and drawing conclusions from data. The project materials that will be developed include sequenced modules, curricular and co-curricular projects and internships, and capstone projects for interdisciplinary teams. The project will also create a "data science hub" to facilitate the forming and mentoring of student teams to actively engage in applying data science methods within the physical and natural sciences, mathematics, and engineering.As expertise in data science is becoming a required component for work in any STEM field, this project aims to integrate data science into the STEM disciplines to enhance undergraduate student learning and preparation for the STEM workforce. The project will use an integrative approach in which data science serves as the interdisciplinary connector of mathematics, science, and engineering. The project aims to conduct a comprehensive research study of the outcomes of the resulting integrative instruction at the collegiate level. Specifically, the project seeks to generate evidence about whether and how the curricular interventions effectively expose students to data science and to determine if this exposure motivates students to attain further training in data science and to pursue data science careers. Student learning outcomes data will inform best practices for infusing data science in undergraduate STEM education. The project will host a workshop for faculty in STEM fields to expand the impact of sharing the curricular materials developed in the project. Additionally, modules and curricular materials for infusing data science will be available freely as web resources. By infusing data science in the STEM disciplines, the project seeks to enhance undergraduate students' exposure to and expertise in data science as well as enhance their preparation to enter the STEM workforce.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.

在加速发现计划的支持下，该项目将开发在本科STEM课程中注入数据科学教学的方法和材料。数据科学的灌输将从最早的STEM微积分必修课开始，并通过顶峰经验继续下去。目标课程包括现有的STEM科学、数学和工程课程。将开发STEM课程的进展，为学生提供数据科学能力，包括获取、管理、分析、可视化和从数据中得出结论。将开发的项目材料包括按顺序排列的单元、课程和联合课程项目和实习，以及跨学科团队的顶峰项目。该项目还将创建一个“数据科学中心”，以促进学生团队的形成和指导，以积极参与在物理和自然科学、数学和工程领域应用数据科学方法。由于数据科学专业知识正在成为任何STEM领域工作的必备组成部分，该项目旨在将数据科学整合到STEM学科中，以加强本科生的学习，并为STEM劳动力做好准备。该项目将使用一种综合方法，其中数据科学充当数学、科学和工程之间的跨学科连接器。该项目旨在对大学一级综合教学的结果进行全面的研究。具体地说，该项目寻求产生证据，证明课程干预是否以及如何有效地让学生接触数据科学，并确定这种接触是否会激励学生获得进一步的数据科学培训并从事数据科学事业。学生学习成果数据将为在本科STEM教育中注入数据科学的最佳实践提供信息。该项目将为STEM领域的教师举办一次讲习班，以扩大共享该项目开发的课程材料的影响。此外，用于灌输数据科学的模块和课程材料将以网络资源的形式免费提供。通过将数据科学融入STEM学科，该项目旨在提高本科生对数据科学的接触和专业知识，并加强他们进入STEM工作的准备。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。