CRII: CHS: Developing Youth Data Literacies through a Visual Programming Environment

CRII：CHS：通过可视化编程环境培养青少年数据素养

• 批准号: 1948113
• 负责人: Sayamindu Dasgupta
• 金额: $ 17.5万
• 依托单位: University of North Carolina at Chapel Hill
• 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: 2020-05-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948113&HistoricalAwards=false
• 关键词: CRII; CHS; Developing; Youth; Data

This research investigates blocks-based programming with everyday information as a vehicle for teaching secondary school youth data science skills. Professional opportunities in Science, Technology, Engineering, and Mathematics (STEM) and beyond increasingly require abilities for making sense of data. These skills require literacies involving data collection, processing, visualization, and analysis. This project investigates new ways to foster these data literacies in middle and high-school-aged students. New software and educational material will be publicly available for learners and educators to use. Workshops for youth will involve the Teen Science Café, run by the Morehead Planetarium and Science Center. Through this investigation, the project is expected to advance knowledge of how to support youth in developing data-centric problem-solving skills, while enabling them to program with everyday information.A data-focused, visual block-based programming environment will be created. The environment will enable students to manipulate and experience everyday data sources with filtering and information visualization. This programming environment will be developed iteratively through formative research studies involving young people. Qualitative and quantitative results from these studies will be used to both improve the design of the system, as well as to create new knowledge addressing misconceptions and difficulties that kids experience as they engage with data concepts and practices. The goal of this project is to have young people invent and develop their own data tools, rather than only use them. It is expected to advance scientific understanding of (1) design principles and best practices for creating visual, block-based data programming toolkits that can engage youth with diverse interests in programming with data; and (2) misconceptions and difficulties faced by youth while learning to program with data.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.

这项研究调查了以日常信息为基础的编程作为教授中学生数据科学技能的工具。科学、技术、工程和数学 (STEM) 等领域的专业机会越来越需要理解数据的能力。该项目研究了培养中学生数据素养的新方法，新的软件和教育材料将公开供学习者和教育工作者使用。青少年将参与青少年科学Café 由莫尔黑德天文馆和科学中心运营，通过这项调查，该项目预计将增进人们对如何支持年轻人发展以数据为中心的解决问题的技能的了解，同时使他们能够利用日常信息进行编程。将创建基于视觉块的编程环境，该环境将使学生能够通过过滤和信息可视化来操作和体验日常数据源。该编程环境将通过涉及年轻人的定性和定量结果进行迭代开发。研究将用于两者改进系统的设计，并创造新的知识来解决孩子们在接触数据概念和实践时遇到的误解和困难。该项目的目标是让年轻人发明和开发自己的数据工具，而不是。预计仅使用它们可以促进对以下方面的科学理解：（1）创建可视化、基于块的数据编程工具包的设计原则和最佳实践，这些工具包可以让具有不同兴趣的年轻人参与数据编程；以及（2）所面临的误解和困难。由年轻人在学习编程时该奖项反映了 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。

项目成果

Dataland: An Informed, Situated, and Critical Approach to Data Literacy

Dataland：一种知情、情境和批判性的数据素养方法

• 发表时间: 2022
• 期刊: General Proceedings of the 2nd Annual Meeting of the International Society of the Learning Sciences 2022
• 作者: Wang, L.;Dasgupta, S.
• 通讯作者: Dasgupta, S.