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

从数据素养到集体数据管理：为城市青年提供技术支持的社区驱动的解决方案

基本信息

批准号：
2016982
负责人：
Rosta Farzan
金额：
$ 59.36万
依托单位：
University of Pittsburgh
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016982&HistoricalAwards=false
关键词：
Data Literacy Collective Stewardship Technology

项目摘要

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.

在过去的几十年里，美国铁锈地带的城市由于制造业就业机会外流而遭受经济衰退，并面临着向信息和计算技术行业的重大转变。在许多情况下，由于缺乏劳动力，历史上的居民被抛在了后面。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，让年轻人学习计算技能，以及让年轻人在行业中取得成功的技能。该项目将为成员提供装备。该项目将针对匹兹堡的两个经济困难和边缘化社区。，让被排除在新劳动力市场之外的年轻人参与进来，并解决因经济衰退而出现的社区问题。教导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，还可以培养更强的公民认同。参与者可以使用通过该项目开发的技术和课程。通过与当地的课外项目合作，该项目将让 15 至 18 岁的青少年通过关键数据素养和培养对数据和数据驱动技术如何运作的理解来发展计算思维该项目将数据素养定义为“访问、解释、批判性评估、管理、处理和道德地使用数据”，旨在了解数据素养的学习机制，包括个人和集体的学习过程以及所需的数据素养。它将涉及开发教育技术来支持。在非正式学习环境中协作学习数据科学，并进行实地研究，以了解技术支持的以社区为中心的数据科学学习过程，了解所开发的工具和流程对青年学习收获和公民参与的功效。为了提高效率，该项目将通过记录系统内的行动以及进行混合定性和定量方法来收集数据，以识别数据中出现的主题，并仔细分析数据进展的模式。一套新颖的协作数据素养工具，可提供该研究有助于学习科学地理解社区背景下的关键数据素养和边缘化社区中个人的现实世界经验如何促进技术发展。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。