From Data Literacy to Collective Data Stewardship: Technology-Supported Community-Driven Solutions for Urban Youth

在过去的几十年里，由于制造业工作岗位的流失，美国锈带的城市遭受了经济衰退，并面临着向信息和计算技术产业的重大转变。在许多情况下，由于缺乏就业准备和新劳动力涌入这些行业，历史上的居民正在被抛在后面。该项目的目标是开发技术，通过将大数据分析应用于社区问题，使青年能够学习计算技能，并使青年能够在新经济中取得成功。该项目将为社区成员提供与环境相关的学习经验，培训他们成为所在社区的数据受托人，并为他们提供从数据素养到数据管理和技术相关领域高等教育的途径。该项目将针对匹兹堡两个经济困难和边缘化的社区，吸引被排除在新劳动力市场之外的年轻人，并解决因经济衰退而出现的社区问题。教年轻人使用大数据来解决社区问题，不仅可以培养计算技能，还可以在参与者中培养更强的公民身份。通过该项目开发的技术和课程将可供其他社区更广泛地实施类似项目。通过与当地课外项目的合作，该项目将通过批判性数据素养和培养对数据和数据驱动技术如何影响他们生活的理解，吸引15至18岁的年轻人发展计算思维。该项目将数据素养定义为“获取、解释、批判性评估、管理、处理和合乎道德地使用数据”，旨在了解数据素养的学习机制，包括个人和集体学习过程以及所需的支持技术。它将涉及开发教育技术，以支持非正式学习环境中的数据科学协作学习，以及开展实地研究，以了解技术支持的以社区为中心的数据科学学习过程。为了了解所开发的工具和流程对青年学习收益和公民参与效率的效果，该项目将通过记录系统内的行动以及进行前后问卷调查来收集数据。将使用混合定性和定量方法来识别数据中的新主题，并对数据中的模式进行统计分析。技术进步是一套新颖的协作数据素养工具，这些工具为参与量身定制了多个切入点，以适应不同层次的领域相关、元认知和协作数据素养能力。该研究有助于学习科学，了解边缘化社区中个人的社区背景和现实世界经验中的关键数据素养如何促进技术知识，促进公民身份的发展，并激发通往高等教育的途径。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。

In the past decades, cities across America’s rust belt have suffered economic decline due to the exodus of manufacturing jobs and have faced a significant shift towards Information and Computational Technology industries. In many cases, the historical residents are being left behind, due to lack of job readiness and the influx of a new workforce into these industries. The goal of this project is to develop technology that will engage youth in learning computational skills by applying big data analytics to neighborhood problems as well as skills that will allow youth to succeed in the new economy. The project will equip members of the community in contextually relevant learning experiences to train them as data trustees in their communities, and provide them with a pathway from data literacy to data stewardship and higher education in technology-related fields. The project will target two economically challenged and marginalized neighborhoods of Pittsburgh, engaging youth that have been excluded from the new labor market, and addressing neighborhood issues that arose as part of the economic decline. Teaching youth to use big data to address community problems will not only build computational skills but also foster a stronger civic identity among participants. The technology and curriculum developed through this project will be accessible to other communities for a broader implementation of similar programs.Through partnership with local after-school programs, the project will engage 15 to 18 years-old youth in developing computational thinking through critical data literacy and cultivation of understanding of how data and data-driven technologies influence their lives. Defining data literacy as “access to, interpret, critically assess, manage, handle, and ethical use of data”, the project aims to understand the learning mechanism of data literacy, including individual and collective learning processes as well as required supporting technology. It will involve developing educational technology to support collaborative learning of data science in an informal learning environment as well as conducting field studies to understand the process of technology-supported community-focused learning of data-science. To understand the efficacy of the developed tools and processes on youth’s learning gain and civic engagement efficacy, the project will collect data by logging actions within the system as well as conducting pre- and post- questionnaires. Mixed qualitative and quantitative methods will be used to identify emerging themes in data, and to statistically analyze the patterns in data. The technological advancement is a suite of novel collaborative data literacy tools that provide multiple entry points for participation tailored to different levels of domain-related, metacognitive, and collaborative data literacy competencies. The research contributes to learning sciences understanding of how critical data literacy situated in community context and real world experiences of individuals in marginalized communities can foster technological knowledge, foster the development of a civic identity and motivate a pathway towards higher education.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.