Collaborative Research: Integrating Students’ Interests, Identities and Ways of Knowing with Network Visualization Tools to Explore Data Literacy Concepts

协作研究：将学生的兴趣、身份和认知方式与网络可视化工具相结合，探索数据素养概念

• 批准号: 2241706
• 负责人: Merijke Coenraad
• 金额: $ 39.8万
• 依托单位: Digital Promise Global
• 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: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241706&HistoricalAwards=false
• 关键词: Collaborative; Research; Integrating; Students; Interests

This project is responding to the growing recognition that youth can benefit from a wide range of data literacy skills. Network visualization is a particularly powerful and relevant approach for learners to understand. In a network visualization, people, places, and things are the nodes in a network, displayed as circles. These nodes are connected by lines that represent interactions. Learners can view relationships between nodes and lines in a network using either a dynamic visualization or they can view network data as a table. The two different representations together can help learners explore data in many contexts. This exploration is particularly relevant for data about relationships built on popular social media platforms. Therefore, network visualizations present a unique opportunity to explore data and data literacy in rich social contexts that are of interest for, and relevance to, youth learners. As they explore a range of locally relevant contexts across disciplines, learners will be engaged with core data literacy principles. To accomplish this, the project team will design, implement, and study an instructional unit about network visualization using the open-source Net.Create software tool that this team previously created to support intuitive, collaborative network visualization. As part of a co-design process with teachers, the team will create a curriculum unit that encourages 7th and 8th grade students to engage in core network visualization and key data literacy practices that meet disciplinary standards. The curriculum will integrate students’ interests and cultural identities, and those of their communities. For example, network visualizations that may be explored include hobbies and activities they are engaged in as well as aspects of their culture or identity. To help students appreciate network visualization in a robust manner, they will have opportunities to develop, critique, and revise the visualizations they build.This project will take a synergistic approach in which middle school students use network visualization to learn about themselves and their communities. As the same time, students will also be learning about the underlying network science and data literacy principles that make their exploration possible, and which are central to their experiences with many common technologies. The project addresses three research questions over this three-year study: 1) How can students learn network and data literacy concepts through the creation of network visualizations with their peers? 2) How does exploring their collective identity, through topics of interest to students both individually and as a whole, using network visualization help motivate them to explore data literacy and integrate technology more deeply into their lives and careers? 3) What challenges and opportunities do teachers see in using network visualizations to support teaching data literacy concepts? The project team will engage in iterative co-design with a partner school district to adapt the draft curriculum to be locally relevant and meaningful. The project will also extend the Net.Create tool to support more robust exploration of the data literacy concepts such as data provenance. Data analysis will include pre / post measures of data literacy concepts and criticality, analysis of networks created by learners and computer logs, application of an engagement rubric that measures quality of student engagement with different activities, and interaction analysis of classroom activities to help articulate how learners used the tools to develop understanding of target concepts. The project team will work closely with two teachers in year 1, three teachers in year 2, and five teachers in year 3, while also scaling up the implementation to see how up to 20 additional teachers are subsequently able to implement the curriculum. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which 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.

该项目是为了回应人们日益认识到青年可以从广泛的数据扫盲技能中受益。网络可视化是学习者理解的一种特别强大和相关的方法。在网络可视化中，人、地点和事物是网络中的节点，显示为圆圈。这些节点由表示交互作用的线连接。学习者可以使用动态可视化来查看网络中节点和线之间的关系，也可以将网络数据视为表格。这两种不同的表示方式可以帮助学习者在许多情况下探索数据。这种探索对于建立在流行社交媒体平台上的关系数据尤其重要。因此，网络可视化提供了一个独特的机会，在丰富的社会背景下探索数据和数据素养，这是感兴趣的，相关的，青年学习者。当他们探索一系列跨学科的本地相关背景时，学习者将参与核心数据素养原则。为了实现这一目标，项目团队将使用开源Net设计，实现和研究有关网络可视化的教学单元。创建该团队先前创建的软件工具，以支持直观的协作网络可视化。作为与教师共同设计过程的一部分，该团队将创建一个课程单元，鼓励7年级和8年级的学生参与核心网络可视化和符合学科标准的关键数据素养实践。课程将结合学生及其社区的兴趣和文化特性。例如，可以探索的网络可视化包括他们参与的爱好和活动以及他们的文化或身份的方面。 为了帮助学生以一种稳健的方式欣赏网络可视化，他们将有机会开发，评论和修改他们建立的可视化。这个项目将采取一种协同的方法，中学生使用网络可视化来了解自己和他们的社区。与此同时，学生还将学习基础网络科学和数据素养原则，这些原则使他们的探索成为可能，并且对他们使用许多常见技术的经验至关重要。该项目在为期三年的研究中解决了三个研究问题：1）学生如何通过与同龄人一起创建网络可视化来学习网络和数据素养概念？2)如何探索他们的集体身份，通过感兴趣的主题，学生作为一个整体，使用网络可视化帮助激励他们探索数据素养和技术更深入地融入他们的生活和职业生涯？3)教师在使用网络可视化来支持数据素养概念教学方面看到了哪些挑战和机遇？项目团队将与合作学区进行迭代共同设计，以调整课程草案，使其与当地相关并具有意义。该项目还将扩展Net.Create工具，以支持对数据来源等数据素养概念进行更有力的探索。数据分析将包括数据素养概念和重要性的前/后测量、对学习者创建的网络和计算机日志的分析、测量学生参与不同活动的质量的参与度标准的应用，以及课堂活动的互动分析，以帮助阐明学习者如何使用工具来发展对目标概念的理解。项目团队将与第一年的两名教师、第二年的三名教师和第三年的五名教师密切合作，同时扩大实施规模，以了解最多20名教师随后如何能够实施课程。该项目由学生和教师创新技术体验（ITEST）计划资助，该计划支持建立对实践，计划元素，背景和过程的理解的项目，有助于增加学生对科学，技术，工程，信息和通信技术（ICT）该奖项反映了NSF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。