Enhancing the Use of Institutional Data in Projects to Support Low-Income, High-Achieving Students in STEM: Capacity-Building Workshops

加强项目中机构数据的使用，以支持 STEM 领域低收入、成绩优异的学生：能力建设研讨会

• 批准号: 2203148
• 负责人: Amy Chan Hilton
• 金额: $ 4.99万
• 依托单位: University of Southern Indiana
• 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: 2022-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2203148&HistoricalAwards=false
• 关键词: Enhancing; Use; Institutional; Data; Projects

This project will contribute to the national need for well-educated scientists, mathematicians, engineers, and technicians by empowering STEM faculty members to strengthen their efforts to support low-income STEM students with academic ability and potential to degree completion. The significance of this project is its approach to enhancing the ability and confidence of STEM faculty members in developing data-informed projects through virtual workshops. A total of 50-70 participants from diverse backgrounds and institution types, including faculty members with limited or no S-STEM project experience, will be recruited to two workshop cohorts using intentional strategies. The workshop sessions will incorporate inquiry, reflection, hands-on activities, and practical strategies from experts to help participants meet S-STEM proposal requirements and strengthen their proposal development process. The workshop may serve as a framework for capacity building for faculty in analyzing institutional data related to activities that support low-income STEM students with academic potential.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need. In particular, the project goal is to increase faculty investigators’ knowledge of and confidence in using data to better understand their institution’s STEM enrollment, retention, and graduation landscape for low-income students with academic potential and ability. The project scope will support participants in both project development and practical perspectives. The approach intentionally scaffolds participants’ knowledge and skills development through Transparency in Learning and Teaching strategies and practices that foster an inclusive and equity-focused learning environment. The objectives are to: 1) develop and implement a virtual workshop series focused on the data components of an S-STEM proposal; 2) recruit diverse S-STEM teams to one of two offerings of the workshop series; 3) increase participants’ knowledge of and confidence in using institutional data to inform their project; and 4) evaluate the project to identify the needs of faculty PIs in using institutional data and inform improvements in faculty development workshops. For the workshop participants, the anticipated outcomes will include: a) articulating awareness of how institutional data can be used to inform their project plans and goals; b) developing a plan for using student data in project development, including identifying relevant questions that the student data can help answer in alignment with the NSF S-STEM program; and c) drafting a plan for requesting student data from their Institutional Research and Financial Aid offices including IRB considerations. The formative and summative evaluation will identify challenges and promising strategies for gathering, analyzing, and using student data in different institutional contexts. The workshop materials, approach, and results will be disseminated through STEM education conferences and networks and shared with NSF S-STEM leadership. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.

该项目将通过赋予STEM教师的能力来加强他们为具有学术能力和学位完成潜力的低收入STEM学生提供努力来加强他们的努力，从而有助于受过受过良好教育的科学家，数学家，工程师和技术人员的国家需求。该项目的意义在于它的方法是增强STEM教师通过虚拟研讨会开发数据信息项目的能力和信心。来自潜水员背景和机构类型的总共50-70名参与者，包括有限或没有S-STEM项目经验的教职员工，将使用有意的策略招募两个研讨会。研讨会会议将纳入专家的询问，反思，动手活动和实践策略，以帮助参与者满足S-STEM提案要求并加强其提案开发过程。该研讨会可以作为教师能力建设的框架，以分析与支持具有学术潜力的低收入STEM学生有关的机构数据。该项目的总体目标是增加具有证明财务需求的低收入，高成就的大学生的STEM学位完成。特别是，项目目标是增加教师研究人员对使用数据的信心，以更好地了解其机构的STEM入学率，保留率和毕业景观，以了解具有学术潜力和能力的低收入学生。项目范围将支持参与者在项目开发和实践观点方面。该方法有意通过学习和教学策略和实践来培养参与者的知识和技能发展，从而促进包容性和公平为中心的学习环境。目标是：1）开发和实施一个针对S-STEM建议数据组件的虚拟研讨会系列； 2）将潜水员的S-STEM团队招募到研讨会系列的两个产品之一； 3）增加参与者对使用机构数据为项目提供信息的知识和信心； 4）评估该项目，以确定PIS使用机构数据并为教师开发研讨会的改进提供信息的需求。对于研讨会的参与者，预期的结果将包括：a）阐明如何使用机构数据来告知其项目计划和目标； b）制定一个计划在项目开发中使用学生数据的计划，包括确定学生数据可以帮助回答NSF S-STEM计划的相关问题； c）制定一项计划，要求从其机构研究和经济援助办公室中索取学生数据，包括IRB考虑。形成性和总结性评估将确定在不同机构环境中收集，分析和使用学生数据的挑战和承诺策略。研讨会材料，方法和结果将通过STEM教育会议和网络传播，并与NSF S-STEM领导力共享。该项目由NSF在科学，技术，工程和数学计划方面的奖学金提供资金，该计划旨在增加具有在STEM领域获得学位的经济需求的低收入学术才华的学生的数量。它还旨在改善未来STEM工人的教育，并为低收入学生的学术成功，保留，转移，毕业以及学术/职业途径提供知识。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响来评估的珍贵的支​​持。