Discovery Workshop on Enhancing Data Science Education by Leveraging Data Sets from the African Diaspora

关于利用非洲侨民数据集加强数据科学教育的发现研讨会

• 批准号: 2136382
• 负责人: Talitha Washington
• 金额: $ 10万
• 依托单位: Clark Atlanta University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2136382&HistoricalAwards=false
• 关键词: Discovery; Workshop; Enhancing; Data; Science

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) is committed to enhancing the quality of undergraduate STEM education and research at Historically Black Colleges and Universities (HBCUs) to broaden participation in the nation's STEM workforce. HBCU-UP seeks to work towards this goal by providing awards to develop, implement, and study innovative approaches for making dramatic improvements in the preparation and success of HBCU undergraduate students so that they may participate successfully in graduate programs and/or careers in science, technology, engineering and mathematics (STEM) disciplines. This award to Clark Atlanta University has the potential to inform the HBCU Community about creating a framework for a data science curriculum. The proposed exploratory discovery workshop by the Clark Atlanta University Data Science Initiative "Enhancing Data Science Education by Leveraging Data Sets from the African Diaspora" aims to advance new knowledge and practice around culturally reflective data science and data science education. It is expected that outputs of the workshop have the potential to impact data science education at the national level.This project will convene an interdisciplinary community of experts at the intersection of data science, social equity, and undergraduate STEM education to achieve the project goals. At the three-day workshop, about 60 expert participants will actively collaborate to develop, test, and refine innovative undergraduate data science modules that incorporate social and racial justice. The participants will contribute to the knowledge sharing by describing promising practices for developing course modules that focus on the African diaspora, identifying data sets appropriate for modules, providing recommendations on how to handle sensitive racial topics in the data science classroom, and determining tools and strategies for teaching culturally relevant data science. A project evaluation will include both formative and summative components that will provide feedback on the workshop activities as well as generate insights from the participants on how to enhance data science education through data sets on the African diaspora. Following the workshop, findings and recommendations will be shared with the wider community through an open seminar, a conference report, a 2-page summary, a case studies publication, and conference presentations. This project has the potential to inform future research and collaboration around how to practice undergraduate data science education that explores topics of the African diaspora with the aim of improving data science education for all 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.

历史上的黑人学院和大学本科课程（HBCU-UP）致力于提高历史上的黑人学院和大学（HBCU）的本科STEM教育和研究质量，以扩大国家STEM劳动力的参与。HBCU-UP旨在通过提供奖项来开发，实施和研究创新方法，以实现这一目标，从而大大改善HBCU本科生的准备和成功，使他们能够成功地参与研究生课程和/或科学，技术，工程和数学（STEM）学科的职业生涯。克拉克亚特兰大大学的这一奖项有可能为HBCU社区提供有关创建数据科学课程框架的信息。克拉克亚特兰大大学数据科学计划提议的探索性发现研讨会“通过利用非洲侨民的数据集来加强数据科学教育”旨在推进围绕文化反思性数据科学和数据科学教育的新知识和实践。预计研讨会的成果有可能影响国家层面的数据科学教育。该项目将召集数据科学、社会公平和本科STEM教育交叉领域的跨学科专家社区，以实现项目目标。在为期三天的研讨会上，约60名专家参与者将积极合作，开发，测试和完善创新的本科数据科学模块，其中包括社会和种族正义。与会者将通过描述开发以非洲侨民为重点的课程模块的有希望的做法，确定适合模块的数据集，就如何在数据科学课堂上处理敏感的种族话题提供建议，并确定用于教授文化相关数据科学的工具和策略，为知识共享做出贡献。项目评估将包括形成性和总结性部分，这些部分将提供关于讲习班活动的反馈意见，并使与会者了解如何通过关于非洲移民社群的数据集加强数据科学教育。研讨会结束后，将通过公开研讨会、会议报告、2页摘要、案例研究出版物和会议介绍，与更广泛的社区分享调查结果和建议。该项目有可能为未来的研究和合作提供信息，围绕如何实践本科生数据科学教育，探索非洲散居者的主题，旨在改善所有学生的数据科学教育。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。