RAPID: Using Real Life COVID-19 data to teach quantititative reasoning skills to undergraduate Hispanic STEM students

RAPID：使用现实生活中的 COVID-19 数据向西班牙裔 STEM 本科生教授定量推理技能

• 批准号: 2032954
• 负责人: Nora Garza
• 金额: $ 20万
• 依托单位: Laredo Community College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2032954&HistoricalAwards=false
• 关键词: RAPID; Using; Real; Life; COVID

The Hispanic-Serving Institutions Program supports RAPID projects when there is a severe urgency with regard to availability of, or access to, data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters and similar unanticipated events, such as the COVID-19 pandemic. The project at Laredo Community College, a two-year institution, seeks to investigate the effectiveness of using a fully-virtual undergraduate research format to enhance quantitative reasoning and literacy while promoting student persistence during a pandemic of COVID-19. Additionally, this project seeks to promote faculty development in guiding undergraduate research at a community college and in an online learning environment. This work will include collecting and monitoring data on the rate of infection of the COVID-19 in high-poverty rural communities in Laredo thus increasing the diversity of the data available to scientists. The project may shed light on inequities that have occurred as learning has transitioned to fully-virtual formats and may provide targeted strategies for engaging and encouraging groups historically underrepresented in STEM to degree completion. Students and faculty comprise a two-tier model where the former conduct research on COVID-19 in their communities and the latter examine how these students learn in this setting; this structure may serve as a model for other rural community colleges. By gathering data from the COVID-19 spread in Laredo, this project can be an opportunity to use data to study, to learn, and to prepare for the future, an important component of resiliency. The unique data elements will only exist at this time. An undergraduate research experience will be designed and implemented around data analysis utilizing existing COVID-19 data resources. Students will increase their quantitative reasoning knowledge base, skills set, and confidence level by gathering, interpreting, analyzing data, and drawing conclusions based on numerical evidence, and communicating this information to others. Faculty involved in the project will also gain a quantitative reasoning-focused professional development opportunity. The impact on faculty development for delivering research content material and guiding research virtually as well as students’ transitions into four-year institutions and quantitative reasoning ability will be evaluated. The proposal also includes plans for communicating results virtually throughout the college, city, and state, as well as to other HSIs through conferences and professional society meetings.This RAPID award is made by the Hispanic-serving Institutions Program in the Division of Human Resource Development, Directorate of Education and Human Resources. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs.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.

拉美裔服务机构项目在数据、设施或专用设备的可获得性或可获得性出现严重紧急情况时支持RAPID项目，包括对自然或人为灾害以及类似意外事件（如COVID-19大流行）的快速反应研究。该项目在为期两年的拉雷多社区学院（Laredo Community College）开展，旨在调查在2019冠状病毒病（COVID-19）大流行期间，使用全虚拟本科生研究形式提高定量推理和读写能力，同时促进学生坚持学习的有效性。此外，该项目旨在促进教师在社区学院和在线学习环境中指导本科生研究的发展。这项工作将包括收集和监测拉雷多高度贫困农村社区COVID-19感染率的数据，从而增加科学家可获得数据的多样性。该项目可能会揭示随着学习向全虚拟形式过渡而出现的不平等现象，并可能提供有针对性的策略，以吸引和鼓励在STEM中历史上代表性不足的群体完成学位。学生和教师组成了一个双层模型，前者在他们的社区进行COVID-19研究，后者研究这些学生如何在这种环境中学习；这种结构可以作为其他农村社区学院的样板。通过收集COVID-19在拉雷多传播的数据，该项目可以成为利用数据进行研究、学习和为未来做准备的机会，这是复原力的重要组成部分。唯一的数据元素将只在此时存在。将围绕利用现有COVID-19数据资源的数据分析设计和实施本科生研究经验。学生将通过收集，解释，分析数据，根据数字证据得出结论，并将这些信息传达给他人，增加他们的定量推理知识基础，技能集和信心水平。参与该项目的教师也将获得以定量推理为重点的专业发展机会。将评估在提供研究内容材料和指导研究方面对教师发展的影响，以及学生向四年制大学的过渡和定量推理能力。该提案还包括通过会议和专业协会会议向整个学院、城市和州以及其他hsi传达结果的计划。该RAPID奖是由教育和人力资源部人力资源开发司的拉美裔服务机构项目颁发的。HSI计划旨在加强HSI的本科STEM教育和能力建设。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。