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

基本信息

  • 批准号:
    2241705
  • 负责人:
  • 金额:
    $ 90.2万
  • 依托单位:
  • 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

项目摘要

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.
该项目负责越来越多的认识,即青年可以从广泛的数据素养技能中受益。网络可视化是一种特别强大且相关的方法,可以让学习者理解。在网络可视化中,人们,地方和事物是网络中的节点,显示为圆圈。这些节点通过表示相互作用的线路连接。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。这两个不同的表示可以帮助学习者在许多情况下探索数据。此探索与有关在流行的社交媒体平台上建立关系的数据特别相关。因此,网络可视化提供了一个独特的机会,可以在与青年学习者感兴趣并相关的丰富社会环境中探索数据和数据素养。当他们探索跨学科的一系列本地相关上下文时,学习者为此做到这一点,项目团队将使用开源网络设计,实施和研究有关网络可视化的教学单元。创建该团队先前为支持直觉,协作网络可视化而创建的软件工具。作为与教师共同设计过程的一部分,团队将创建一个课程单元,鼓励7年级和8年级学生参与符合纪律标准的核心网络可视化和关键数据素养实践。该课程将使学生的兴趣和文化身份及其社区的兴趣和文化身份结合在一起。例如,可以探索的网络可视化包括他们从事的爱好和活动以及其文化或身份的各个方面。为了帮助学生以强大的方式欣赏网络可视化,他们将有机会开发,批评和修改他们构建的可视化。该项目将采用一种协同的方法,其中中学生使用网络可视化来了解自己和社区。同时,学生还将学习基本的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,这对于他们在许多常见技术中的经验至关重要。该项目在这项为期三年的研究中解决了三个研究问题:1)学生如何通过与同行创建网络可视化的网络和数据素养概念? 2)如何通过单独和整个学生的感兴趣的主题来探索他们的集体身份,使用网络可视化有助于激励他们探索数据素养并更深入地融入他们的生活和职业? 3)教师使用网络可视化来支持教学数据素养概念时会看到哪些挑战和机会?项目团队将与合作伙伴学区进行迭代共同设计,以适应该草案的本地相关和有意义的课程。该项目还将扩展网络。创建工具,以支持对数据素养概念(例如数据proveance)的更强大的探索。数据分析将包括数据素养概念和批判性的预测度量,对学习者和计算机日志创建的网络的分析,应用参与标语的应用,该标语的应用量,该标题可以衡量学生参与不同活动的质量以及对课堂活动的交互分析,以帮助阐明学习者如何使用这些工具来开发对目标概念的理解。项目团队将与1年级的两名教师,第2年的三名教师和3年级的五名老师紧密合作,同时还扩大了实施的规模,以查看多达20名其他教师如何能够实施课程。该项目是由学生和教师(ITEST)计划的创新技术经验资助的,该计划支持对实践,计划要素,环境,环境和过程的理解,从而有助于增加学生对科学,技术,工程和数学和数学(STEM)的知识和兴趣的促进知识和兴趣(STEM)以及通过ICT的信息(ICT)奖,以反映了NSF的启动奖,并反映了DEEM的宣传,并证明了该奖项。和更广泛的影响审查标准。

项目成果

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Joshua Danish其他文献

A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments
使用机器学习方法增强实体学习环境交互分析的第一步
  • DOI:
    10.48550/arxiv.2405.06203
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Fonteles;Eduardo Davalos;S. AshwinT.;Yike Zhang;Mengxi Zhou;Efrat Ayalon;Alicia C. Lane;Selena Steinberg;Gabriella Anton;Joshua Danish;Noel Enyedy;Gautam Biswas
  • 通讯作者:
    Gautam Biswas
An Elementary Teacher’s Development of Using Representations: Comparing 2 Years’ Teaching in Earth Science Unit
一名小学教师使用表征的发展:地球科学单元两年教学的比较
  • DOI:
    10.1080/1046560x.2023.2291246
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Qiu Zhong;Meredith A. Park Rogers;Celeste Nicholas;Joshua Danish;Cindy E. Hmelo
  • 通讯作者:
    Cindy E. Hmelo
The Role of the Physical Space in Distributed Intelligence
物理空间在分布式智能中的作用
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Tissenbaum;Robb Lindgren;James Planey;Emma Mercier;Jina Kang;Morgan Vickery;Mengxi Zhou;Katie Headrick;Kaleb Taylor;Germinaro;Jim Slotta;Tom Moher;Nathan Kimball;Concord Consortium;Jessica Roberts;Georgia Tech;Kyle Leinart;Joshua Danish
  • 通讯作者:
    Joshua Danish
Using network visualizations to engage elementary students in locally relevant data literacy
使用网络可视化让小学生参与本地相关的数据素养
  • DOI:
    10.1108/ils-06-2023-0069
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Mengxi Zhou;Selena Steinberg;Christina Stiso;Joshua Danish;Kalani Craig
  • 通讯作者:
    Kalani Craig

Joshua Danish的其他文献

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{{ truncateString('Joshua Danish', 18)}}的其他基金

Collaborative Research: Engaging students in discourse about criteria for judging scientific models
合作研究:让学生参与讨论科学模型的判断标准
  • 批准号:
    2300832
  • 财政年份:
    2023
  • 资助金额:
    $ 90.2万
  • 项目类别:
    Continuing Grant
Generalized Embodied Modeling to support Science through Technology Enhanced Play
广义体现建模通过技术增强游戏支持科学
  • 批准号:
    1908632
  • 财政年份:
    2019
  • 资助金额:
    $ 90.2万
  • 项目类别:
    Continuing Grant
Collaborative Research: Scaffolding Explanations and Epistemic Development for Systems
协作研究:系统的脚手架解释和认知发展
  • 批准号:
    1761019
  • 财政年份:
    2018
  • 资助金额:
    $ 90.2万
  • 项目类别:
    Standard Grant
DIP: Collaborative Research: Interactive Science Through Technology Enhanced Play (iSTEP)
DIP:协作研究:通过技术增强游戏进行互动科学 (iSTEP)
  • 批准号:
    1628918
  • 财政年份:
    2016
  • 资助金额:
    $ 90.2万
  • 项目类别:
    Standard Grant
EXP: Promoting Learning through Annotation of Embodiment (PLAE)
EXP:通过体现注释促进学习(PLAE)
  • 批准号:
    1522945
  • 财政年份:
    2015
  • 资助金额:
    $ 90.2万
  • 项目类别:
    Standard Grant

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Collaborative Research: BoCP-Implementation: Alpine plants as a model system for biodiversity dynamics in a warming world: Integrating genetic, functional, and community approaches
合作研究:BoCP-实施:高山植物作为变暖世界中生物多样性动态的模型系统:整合遗传、功能和社区方法
  • 批准号:
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  • 批准号:
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