Designing Learning Technology Environments for Middle School Students to Analyze and Interpret Data Visualizations

为中学生设计学习技术环境来分析和解释数据可视化

• 批准号: 2327465
• 负责人: JaCoya Thompson
• 金额: $ 34.87万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2327465&HistoricalAwards=false
• 关键词: Designing; Learning; Technology; Environments; Middle

We live in a digital age where data are continuously generated and used to help us understand and appreciate our world. Data visualizations have become a tool for understanding data, revealing hidden structures, patterns, and social movements to understand our world in new ways. Yet, many individuals have difficulties interpreting and working with data visualizations, thus, opportunities are needed to develop skills related to reading, communicating, and comprehending data visualizations appropriately. This project aims to develop and implement a curricular program for middle-school-aged youth in community-based settings to develop data visualization skills through technologies in the context of socio-scientific issues. The overarching goal is to support middle-grade youth in developing data visualization skills that not only allow them to become critical public consumers of data but also provide them with the ability to understand data. The curricular program will provide culturally relevant experiences that may motivate youth to pursue STEM majors and careers, potentially broadening participation in STEM. Data visualizations have become a ubiquitous tool for understanding the multitude of data continuously generated. Accordingly, the ability to understand and use data visualizations has become crucial not only for professional data scientists but also for everyday citizens. This project integrates data visualization practices within STEM education research and sociocultural learning theories to build new theoretical understandings about the nature of data visualization learning in the context of pressing socio-scientific issues. The research goals of this project are to provide empirical evidence of middle school students building data visualization practices through learning technologies, and to develop a theoretical learning model for developing data visualization practices in youth. Drawing on Integrated STEM education and Experiential Learning Theory, the students’ learning experiences will also build on the existing technical, programmatic, and social infrastructures that support informal learning opportunities that are culturally relevant. The project will create educational STEM ecosystems that promote the accumulation of non-traditional STEM experiences that may enable multiple pathways to STEM degrees and careers. Further, materials for the data science learning environment will be made openly available and easily adaptable to both informal or formal education settings.This project is co-funded by the STEM Education Postdoctoral Research Fellowship (STEM Ed PRF) program and by the Innovative Technology Experiences for Students and Teachers (ITEST) program. The STEM Ed PRF program aims to enhance the research knowledge, skills, and practices of recent doctorates in STEM, STEM education, education, and related disciplines to advance their preparation to engage in fundamental and applied research that advances knowledge within the field. The ITEST program supports projects that build understandings of practices, program elements, contexts, and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.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.

我们生活在一个数字时代，其中数据是不断生成的，并用来帮助我们理解和欣赏我们的世界。数据可视化已成为理解数据，揭示隐藏的结构，模式和社会运动的工具，以新的方式了解我们的世界。但是，许多人很难解释和处理数据可视化，因此需要机会来发展与阅读，沟通和理解数据可视化相关的技能。该项目旨在在基于社区的环境中为中学年轻人开发和实施一个课程计划，以在社会科学问题的背景下通过技术开发数据可视化技能。总体目标是支持中年级的年轻人发展数据可视化技能，这不仅使他们成为数据的关键公共消费者，而且还为他们提供了了解数据的能力。课程课程将提供与文化相关的经验，可能激发青年追求STEM专业和职业，并有可能扩大参与STEM的参与。数据可视化已成为一种无处不在的工具，可用于了解连续生成的多种数据。彼此之间，理解和使用数据可视化的能力不仅对专业数据科学家，而且对每天的公民都至关重要。该项目将数据可视化实践整合在STEM教育研究和社会文化学习理论中，以在紧迫的社会科学问题的背景下对数据可视化学习的性质建立新的理论理解。该项目的研究目标是为中学生通过学习技术建立数据可视化实践的经验证据，并开发出一种理论学习模型，以开发青年人的数据可视化实践。利用STEM教育和经验学习理论，学生的学习经验还将建立在现有的技术，程序和社会基础设施的基础上，这些基础设施支持在文化上相关的非正式学习机会。该项目将创建教育的STEM生态系统，以促进非传统STEM体验的积累，从而使多种途径能够进入茎学位和职业。此外，数据科学学习环境的材料将公开可用，易于适应非正式或正规教育环境。该项目由STEM教育博士后研究奖学金（STEM ED PRF）计划共同资助，并由学生和老师（ITEST）计划的创新技术经验。 STEM ED PRF计划旨在增强STEM，STEM教育，教育和相关学科的最新博士学位的研究知识，技能和实践，以推动他们准备进行该领域发展的基本和应用研究的准备。 ITEST计划支持对实践，计划要素，环境和流程的理解的项目，这些项目有助于增加学生对科学，技术，工程和数学和数学（STEM）以及信息与通信技术（ICT）职业的知识和兴趣。该奖项反映了NSF的法定任务，反映了通过使用基金会的智力效果和广泛的评估来进行评估和广泛的评估。