Truman and UChicago Data Science Preceptors Track II

杜鲁门和芝加哥大学数据科学导师 Track II

• 批准号: 2247858
• 负责人: Kate Connor
• 金额: $ 99.99万
• 依托单位: City Colleges of Chicago Harry S Truman College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2247858&HistoricalAwards=false
• 关键词: Truman; UChicago; Data; Science; Preceptors

With support from Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this track 2 project aims to improve access to data science education for Hispanic students at community colleges where a disproportionately large number of students from groups underrepresented in STEM fields access college. It will do so by developing introductory data science courses and establishing them as a pathway to further data science educational opportunities. The project will also build a comprehensive model for building instructional capacity at community colleges that includes a community college-research institution partnership and research institution preceptors (post PhD instructors). This work will not only reach students at Truman but will also set the stage for growing data science programs at other Chicago community colleges as well as Hispanic-serving community colleges nationwide. The specific aims of this project are to collaborate with the University of Chicago to develop and implement data science courses, utilize a preceptor model to build instructional capacity in the community college setting, and establish the curriculum and a data science pathway that prepares Hispanic students for future employment and transfer. The research questions focus on specifying the data science program model including the role of transfer partners and industry employers; examining the role of intersectionality and culturally responsive pedagogy; and articulating the nature of the community college-research institution partnership and the role preceptor programs play in that partnership. The research will use quantitative and qualitative data collection methods including questionnaires, interviews, and focus groups. This project will provide insights, guidance, and a model for community college data science education and share those findings through academic channels including professional meetings and peer review journals as well as channels more commonly accessed by practitioners. The HSI Program aims to enhance undergraduate STEM education and build capacity at HSIs. Projects supported by the HSI Program will also generate new knowledge on how to achieve these aims.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.

在改善本科STEM教育：西班牙裔服务机构（HSI计划）的支持下，该第2轨道项目旨在改善社区学院西班牙裔学生获得数据科学教育的机会，其中来自STEM领域代表性不足的群体的学生人数不成比例。它将通过开发数据科学入门课程并将其作为进一步获得数据科学教育机会的途径来实现这一目标。该项目还将建立社区学院教学能力建设的综合模式，其中包括社区学院-研究机构伙伴关系和研究机构导师（博士后导师）。这项工作不仅将覆盖杜鲁门大学的学生，还将为其他芝加哥社区学院以及全国范围内的西班牙裔社区学院的数据科学项目的发展奠定基础。该项目的具体目标是与芝加哥大学合作开发和实施数据科学课程，利用导师模型在社区大学环境中建立教学能力，并建立课程和数据科学途径，为西班牙裔学生未来的就业和转学做好准备。研究问题的重点是指定数据科学计划模型，包括转移合作伙伴和行业雇主的作用;检查交叉性和文化响应教学法的作用;并阐明社区大学-研究机构伙伴关系的性质以及导师计划在这种伙伴关系中发挥的作用。研究将采用定量和定性的数据收集方法，包括问卷调查，访谈和焦点小组。该项目将为社区大学数据科学教育提供见解，指导和模型，并通过学术渠道分享这些发现，包括专业会议和同行评审期刊以及从业者更常用的渠道。HSI计划旨在加强本科STEM教育，并建立HSI的能力。HSI计划支持的项目也将产生关于如何实现这些目标的新知识。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。