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Capacity-Building for Transforming STEM Education Through Faculty Engagement in Data Analysis and Learning Communities

通过教师参与数据分析和学习社区进行 STEM 教育转型的能力建设

基本信息

批准号：
2021532
负责人：
Amy Chan Hilton
金额：
$ 15万
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：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021532&HistoricalAwards=false
关键词：
Capacity Building Transforming STEM Education

项目摘要

This project aims to serve the national interest in high quality undergraduate STEM education by expanding the number of STEM faculty members who are both motivated and prepared to improve student success in STEM. To this end, it seeks to strengthen academic data infrastructure and cultivate faculty engagement in STEM education transformation. The project team recognizes that just giving faculty access to data will not inspire them to improve their teaching strategies. Therefore, the project intends to motivate faculty to use evidence-based teaching strategies by including them as co-designers of data analytics tools, narratives about the data, and community building. The project team brings expertise and experience across STEM, STEM education, and social sciences and includes faculty members and university leaders. The expected long-term outcome is increased retention and graduation rates of STEM students, including first-generation, low-income, women, and other underserved student populations.The objectives of this project are to: 1) expand academic data analytics tools that are relevant and actionable for faculty; 2) engage 24 STEM faculty members in learning communities that connect academic data with individual perspectives to motivate interest in STEM education improvements; 3) build community across STEM educators; and 4) refine theories of change and the framework for a future project to implement institutional STEM education transformation. Creating data analytical tools is an emerging approach to prompting STEM faculty motivation to implement evidence-based teaching practices. These tools, together with narratives about how data can be used to motivate change, will be disseminated broadly through conferences and publications focused on STEM education and faculty development. Through the results of formative and summative project evaluation, this project will provide insights about effective strategies to engage STEM faculty in scientific inquiry into how to support student success at a public, regional, primarily undergraduate institution. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities, including capacity-building projects such as this.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.

该项目旨在通过扩大STEM教师的数量来服务于高质量本科STEM教育的国家利益，这些教师既有动力又有准备，以提高学生在STEM中的成功。为此，它旨在加强学术数据基础设施，并培养教师参与STEM教育转型。项目团队认识到，仅仅让教师访问数据并不能激励他们改进教学策略。因此，该项目旨在激励教师使用基于证据的教学策略，包括他们作为数据分析工具的共同设计者，关于数据的叙述和社区建设。项目团队带来了STEM，STEM教育和社会科学的专业知识和经验，包括教职员工和大学领导。预期的长期结果是提高STEM学生的保留率和毕业率，包括第一代，低收入，女性和其他服务不足的学生群体。该项目的目标是：1）扩展学术数据分析工具，这些工具与教师相关并可操作; 2）让24名STEM教师参与学习社区，将学术数据与个人观点联系起来，以激发对STEM教育改进的兴趣; 3）在STEM教育工作者中建立社区; 4）完善变革理论和未来项目的框架，以实施机构STEM教育转型。创建数据分析工具是促进STEM教师实施循证教学实践的一种新兴方法。这些工具以及关于如何利用数据推动变革的说明，将通过侧重于STEM教育和教师发展的会议和出版物广泛传播。通过形成性和总结性项目评估的结果，该项目将提供有关有效策略的见解，让STEM教师参与科学探究如何支持学生在公共，区域，主要是本科院校的成功。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。通过机构和社区转型路径，该计划支持高等教育机构和学科社区的STEM教育转型和改进工作，包括诸如此类的能力建设项目。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。