Exploring the Impacts of Data Science Education through a Course-based Undergraduate Research Experience and Short Lab Modules

该项目旨在通过开发可扩展的基于数据科学课程的本科生基因组学研究体验(CURE)来服务于国家利益，以提高本科生的量化素养和坚持不懈。该项目将采用一种治疗方法，让学生参与真正的科学研究，作为课程的一部分。将开发数据科学项目，以创建一种可扩展的治疗方法，该方法可在社区大学和四年制教学机构提供，以影响不同的学生群体。因此，该项目将增加主要教授大学及其学生的研究机会，以增加对数据科学的参与。通过探索数据科学疗法作为干预措施的有效性，该项目将为如何提高STEM的量化素养和持久性提供见解。这个项目旨在调查治疗方法如何提高学生的毅力和分析能力。特别是，该项目旨在产生关于数据科学密集型治疗如何影响学生学习结果的知识。结果将在一所研究型大学(约翰·霍普金斯大学)和一所社区学院(克洛维斯社区学院，一家教学机构，学生人口中有40%是西班牙裔，20%是第一代)的学生群体中进行评估。将使用一种经过验证的工具评估与STEM中的持久性相关的因素(PITS)，以调查数据科学治疗是否可以产生这些因素的增加，类似于以前建立的治疗方法中看到的那些。同样，最近经过验证的BioSQuaRE工具将用于评估量化技能的进步。在两个截然不同的学生群体和机构环境中评估这些措施，将扩大对治愈影响的知识，并为在广泛的学生群体中进行比较奠定基础。该项目还将调查学生对数据科学的态度，并评估在较低级别的本科课程中纳入数据科学实验模块是否是吸引和准备学生参与科学研究机会的有效策略。NSF IUSE：EHR计划支持研究和开发项目，以提高所有学生的STEM教育的有效性。通过参与的学生学习路径，该计划支持有前景的实践和工具的创建、探索和实施。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。

This project aims to serve the national interest by developing a scalable data-science Course-based Undergraduate Research Experience (CURE) in genomics for increasing quantitative literacy and persistence in undergraduate students. The project will employ a CURE to engage students in genuine scientific research as part of the course curriculum. Data science projects will be developed to create a scalable CURE that can be offered at both community colleges and four-year teaching institutions to impact diverse student populations. As such, this project will increase access to research opportunities for primarily teaching colleges and their students to increase participation in data science. By exploring the efficacy of a data science CURE as an intervention, this project will provide insights on how to increase quantitative literacy and persistence in STEM. This project seeks to investigate how CUREs can increase student persistence and improve analytical skills. In particular, the project aims to generate knowledge on how a data science intensive CURE impacts the student learning outcomes. The outcomes will be evaluated for student populations at a research university (Johns Hopkins University) and a community college (Clovis Community College, a teaching institution with a student population that is 40% Hispanic and 20% first-generation). A validated tool assessing factors linked to persistence in STEM (PITS) will be used to investigate whether a data science CURE can produce increases in these factors similar to those seen in previously established CUREs. Similarly, the recently validated BioSQuaRE tool will be used to assess improvements in quantitative skills. Evaluating these measures with two very different student populations and institutional settings will expand knowledge of CURE impacts and lay the groundwork for comparisons across a wide range of student populations. The project will also investigate student attitudes towards data science and evaluate whether incorporating data science lab modules in a lower-division undergraduate course is an effective strategy to attract and prepare students to participate in scientific research opportunities. 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.