Innovative Pedagogy Through Big Data and ArcGIS: Perspectives on the Collaboration Among First-Generation Students, Nonprofits, and Open Data in Los Angeles

Luis Nuño, Dawn Dennis, Jessica Bodoh-Creed
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Abstract

This article focuses on the innovative teaching practices using big data that arose from a 4-year collaboration between faculty, first-generation students at California State University, Los Angeles (CSULA), and local communities. The aim of the National Science Foundation–funded Big Data Project at CSULA was to engage students and faculty in using big data to tackle social issues such as racial violence, poverty, environmental inequalities, urban ecology, and structural barriers in Los Angeles, while preserving the cultural richness of the communities in East Los Angeles and surrounding areas. Once a year, faculty members applied to the program to incorporate data projects into their courses, received training, adapted their curricula, and worked with nonprofits. Our experience showed that the students who participated in this semester-long, hands-on learning experience exceeded the learning objectives of the program and specific courses. They were key contributors in generating new insights using big data, fostering meaningful dialogue, and creating research and scholarship opportunities that positively impacted their communities.
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通过大数据和 ArcGIS 创新教学法:透视洛杉矶第一代学生、非营利组织和开放数据之间的合作
本文重点介绍了加州州立大学洛杉矶分校(CSULA)的教师、第一代学生和当地社区之间为期 4 年的合作所产生的使用大数据的创新教学实践。由国家科学基金会资助的加州州立大学洛杉矶分校大数据项目旨在让学生和教师参与进来,利用大数据解决洛杉矶的种族暴力、贫困、环境不平等、城市生态和结构性障碍等社会问题,同时保护东洛杉矶及周边地区丰富的社区文化。教职员工每年一次向该计划提出申请,将数据项目纳入他们的课程,接受培训,调整课程,并与非营利组织合作。我们的经验表明,参与这种为期一学期的实践学习体验的学生超出了该计划和具体课程的学习目标。他们在利用大数据提出新见解、促进有意义的对话、创造研究和学术机会以积极影响社区方面做出了重要贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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