Truman and UChicago Data Science Preceptors Track II

在改善本科STEM教育：西班牙裔服务机构（HSI计划）的支持下，这个第二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，在社区学院，来自STEM领域代表性不足的群体的学生比例过高。它将通过开发入门数据科学课程并将其作为进一步数据科学教育机会的途径来实现这一目标。该项目还将建立一个社区大学教学能力建设的综合模式，其中包括社区大学-研究机构伙伴关系和研究机构导师（博士后导师）。这项工作不仅将惠及杜鲁门大学的学生，还将为芝加哥其他社区学院以及全国范围内为西班牙裔服务的社区学院提供越来越多的数据科学课程奠定基础。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，利用导师模式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。研究问题集中在确定数据科学项目模型，包括转移伙伴和行业雇主的角色；研究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项目在这种伙伴关系中所扮演的角色。该研究将使用定量和定性数据收集方法，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、指导和模式，并通过包括专业会议和同行评审期刊在内的学术渠道以及从业者更常访问的渠道分享这些发现。HSI计划旨在加强HSI的本科STEM教育和能力建设。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。

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.