RCN-UBE: Networking Next Gen Biologists with Community College Educators

RCN-UBE：将下一代生物学家与社区大学教育者联系起来

• 批准号: 2217348
• 负责人: Jennifer Eklund
• 金额: $ 49.97万
• 依托单位: Institute for Systems Biology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2217348&HistoricalAwards=false
• 关键词: RCN; UBE; Networking; Next; Gen

This RCN-UBE project seeks to network community college educators and biologists using big datasets (next gen biologists) to promote data literacy in community college students. Next gen biology has led to a huge increase in many types of biological data making it important that all biology students have access to educational experiences that build data literacy. However, due to the rapidly evolving nature of skills needed to work with big data, many STEM educators lack contemporary data literacy skills. Even fewer have training on how to use data in the classroom in a way that is accessible to students and builds data literacy skills. This project aims to improve undergraduate STEM teaching and learning by increasing faculty capability with next gen biology data analysis. To do this the network participants will create resources to engage diverse undergraduates in cutting edge methods in introductory courses. The network will also promote equity and diversity by enhancing participant awareness of issues that impact student access to biological data literacy skills and quantitative biology research methods.This project will bring together next gen biologists from non-degree granting institutes and community college faculty to engage in a series of professional learning experiences designed to support all participants to build knowledge about students’ development of biological data literacy and quantitative research skills. To promote participants’ awareness and agency, discussions focused on diversity, equity, and inclusion will be integral to each professional learning event. Following the series of professional learning events, members of the network will co-create curricular resources that equitably engage students in analyzing and interpreting large datasets founded in authentic research contexts. The project will generate robust instructional strategies and curricular resources founded in contemporary quantitative biology research, a series of guides for facilitating professional development workshops involving professionals from education and scientific research fields, and an expanded network of undergraduate biology faculty and scientists at research institutes engaging students in quantitative biology skills.This project is being jointly funded by the Directorate for Biological Sciences, Division of Biological Infrastructure, and the Directorate for Education and Human Resources, Division of Undergraduate Education as part of their efforts to address the challenges posed in Vision and Change in Undergraduate Biology Education: A Call to Action (http://visionandchange/finalreport/).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.

这个RCN-UBE项目旨在利用大数据集（下一代生物学家）将社区大学教育者和生物学家联系起来，以提高社区大学生的数据素养。下一代生物学导致了许多类型的生物数据的巨大增长，这使得所有生物学学生都有机会获得培养数据素养的教育经历变得非常重要。然而，由于处理大数据所需的技能性质迅速发展，许多STEM教育工作者缺乏当代数据素养技能。更少的人接受过如何在课堂上使用数据的培训，让学生能够使用数据并培养数据素养技能。本项目旨在通过下一代生物学数据分析提高教师能力，改善本科STEM教学。为了做到这一点，网络参与者将创造资源，让不同的本科生在入门课程中采用前沿方法。该网络还将通过提高参与者对影响学生获得生物数据素养技能和定量生物学研究方法的问题的认识，促进公平和多样性。该项目将汇集来自非学位授予机构和社区学院教师的下一代生物学家，参与一系列专业学习体验，旨在支持所有参与者建立有关学生生物数据素养和定量研究技能发展的知识。为了提高参与者的意识和能动性，每个专业学习活动都将围绕多样性、公平性和包容性展开讨论。在一系列专业学习活动之后，网络成员将共同创建课程资源，公平地吸引学生分析和解释基于真实研究背景的大型数据集。该项目将为当代定量生物学研究提供强有力的教学策略和课程资源，为促进包括教育和科研领域专业人员在内的专业发展研讨会提供一系列指南，并扩大生物学本科教师和研究机构科学家的网络，使学生参与定量生物学技能。该项目由生物基础设施司生物科学理事会和本科教育司教育和人力资源理事会共同资助，作为其应对《本科生物学教育的愿景与变革：行动呼吁》（http://visionandchange/finalreport/）所提出的挑战的努力的一部分。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。