Mathematics and Statistics Across the Curriculum: Empowering Non-STEM Students to Appreciate and Use Quantitative Modeling

跨课程的数学和统计学：让非 STEM 学生欣赏和使用定量建模

• 批准号: 1905246
• 负责人: Reza Abbasian
• 金额: $ 29.85万
• 依托单位: Texas Lutheran University
• 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 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1905246&HistoricalAwards=false
• 关键词: Mathematics; Statistics; Across; Curriculum; Empowering

With support from the NSF Improving Undergraduate STEM Education Program: Education and Human Resources, this Engaged Student Learning (Exploration and Design) project aims to serve the national interest in undergraduate mathematics education. It aims to do so by improving attitudes, awareness, and use of quantitative modeling by undergraduate students in STEM and non-STEM majors. This project will investigate how students outside of math-intensive majors respond to mathematical and statistical modules that are embedded within their courses and that focus on topics that are relevant to the course. The project design team, consisting of mathematics faculty paired with faculty from participating disciplines, will design technology-based modeling modules to incorporate in undergraduate non-mathematics courses. To ensure authenticity, modules from non-STEM disciplines will be selected by participating non-STEM faculty members and students. Enabling student experiences that address relevant problems with quantitative methods will have the potential to create awareness, appreciation, and use of these methods. As such, this project has potential to be a gateway for non-mathematics undergraduate students into quantitative applications in disparate areas of undergraduate study.The goals of this three-year project include to: (i) improve the attitudes of faculty and students toward use of quantitative methods in non-mathematics classes; (ii) increase use of modeling outside of mathematics courses; and (iii) develop a dynamic online archive of peer-reviewed modeling modules. The project will study the incorporation of quantitative literacy applications in a range of courses with non-mathematics undergraduate majors, including social and applied sciences, arts, humanities, and biology undergraduate courses. The research design of the project will include comparing class sections that do not incorporate quantitative modeling modules with those that do, using pre- and post-tests of students in these classes, who serve as their own controls. Data analysis will include use of repeated measures MANOVA, MANCOVA, regression, and non-parametric analyses. The project has the potential to support the broader national use of statistical and quantitative methods outside of STEM disciplines and enhance undergraduate students' critical thinking skills as well-prepared citizens. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.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NSF改善本科STEM教育计划：教育和人力资源的支持下，这个学生学习（探索和设计）项目旨在为本科数学教育的国家利益服务。 它旨在通过改善STEM和非STEM专业本科生的态度，意识和定量建模的使用来实现这一目标。该项目将调查数学密集型专业以外的学生如何应对嵌入在课程中的数学和统计模块，并专注于与课程相关的主题。项目设计团队由数学教师与参与学科的教师组成，将设计基于技术的建模模块，以纳入本科非数学课程。为了确保真实性，非STEM学科的模块将由参与的非STEM教师和学生选择。使学生的经验，解决与定量方法的相关问题将有可能创造认识，欣赏和使用这些方法。因此，这个项目有可能成为一个门户，为非数学本科学生进入定量应用在不同领域的本科学习。这个为期三年的项目的目标包括：（i）改善教师和学生的态度，对使用定量方法在非数学类。（ii）增加使用建模以外的数学课程。以及（iii）开发一个动态的在线档案库，其中包含同行评审的建模模块。该项目将研究在一系列非数学本科专业课程中纳入定量识字应用，包括社会和应用科学，艺术，人文和生物本科课程。该项目的研究设计将包括比较不包含定量建模模块的课程部分与那些包含定量建模模块的课程部分，使用这些课程中学生的前测试和后测试作为自己的对照。数据分析将包括使用重复测量MANOVA、MANCOVA、回归和非参数分析。该项目有可能支持在STEM学科之外更广泛地使用统计和定量方法，并提高本科生作为准备充分的公民的批判性思维能力。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生STEM教育的有效性。 该奖项反映了NSF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。