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，由于缺乏工作准备和新劳动力涌入这些行业，历史居民被抛在后面。 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，让青年学习计算技能，以及让青年在新经济中取得成功的技能。 该项目将为社区成员提供与背景相关的学习经验，以培训他们成为社区的数据受托人，并为他们提供从数据扫盲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，并解决作为经济衰退一部分而出现的社区问题。 教导青年使用大数据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的计划。通过与当地课后计划的合作，该项目将通过关键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岁的青少年发展计算思维。 该项目将数据素养定义为“获取、解释、批判性评估、管理、处理和道德使用数据”，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，以支持在非正式学习环境中进行数据科学的协作学习，以及进行实地研究，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程序对青年学习增益和公民参与效力的效力，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。将采用定性和定量相结合的方法来确定数据中新出现的主题，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，为参与提供了多个切入点，适合不同级别的领域相关，元知识和协作数据素养能力。这项研究有助于学习科学，了解社区背景下的关键数据素养和边缘化社区个人的真实的世界经验如何促进技术知识，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进行评估来支持审查标准。

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.