Piloting Graph Literacy Activities in Maine

在缅因州试点图形素养活动

基本信息

  • 批准号:
    1256490
  • 负责人:
  • 金额:
    $ 29.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-10-01 至 2015-09-30
  • 项目状态:
    已结题

项目摘要

The goal of this project is to develop and pilot test a limited number of free computer-based instructional activities that improve student graph comprehension, aimed especially at science students in grades 7 and 8. In addition, the project is developing a pilot assessment instrument focusing on students' comprehension of graphs ("graph literacy"). The activities and the assessment instrument are being pilot tested in Maine, a rural state where family income is below the national average and students are underrepresented in studying STEM topics after high school. The state has identified this topic as an important one to focus on in the coming year. Graph literacy is the ability to identify the important features of a wide variety of graphs and relate those features to the context of the graphs. This increases the students' understanding not only of how to interpret graphs, but also of the science content. This definition of graph literacy, while based in the math and science standards, goes beyond skills tested by many assessments of graph knowledge because they focus primarily on reading points off a graph, typically a type of graph that students have studied and are familiar with. While broadening the usual definition for graph skills, the project focuses on scatter and line graphs of the type encountered in many mathematics and science courses in grades 7-12, as well as in newspapers and magazines.Graphs are central to STEM learning in many subjects and at almost all education levels. In spite of the vital role of graphs, students at all ages demonstrate difficulties using and interpreting graphs. The computer-based Graph Literacy activities being developed are based on extensive prior research about students' use and understanding of graphs, as well as continuing advances in delivering education activities through dynamic, interactive Web pages that do not require schools to install any software. Based on the research literature, there is a consensus that students need to be taught graph literacy in three steps: identifying and encoding the important superficial features of a graph they want to understand, such as the titles, units, and axis labels; linking visual features of that graph to mathematical relationships, based on recurring patterns (e.g., linear increase or decrease); and, integrating all of these features with the context of the graph. The activities we are developing are based on this approach, as are the validated assessments being developed to measure students' graph literacy. The project is conducting a small, randomized experimental trial of the graph literacy activities in year 2 of the project. The goal of is to determine the effectiveness of the graph literacy activities in improving students' understanding of graphs. The open source software and approaches developed under the prior grant contribute directly to the likely success of this project. Because of growing interest in use of online resources for teaching and learning, this work is potentially transformative for a wide range of audiences, including teachers, students, researchers, and the developers and publishers of instructional materials across all STEM areas and grades. The underlying software technology for Graph Literacy is being made available as open source computer code, and any activities that use the code are released under a creative commons license. As a result, the graph literacy activities, and the pilot assessment instrument, can be widely adopted at no cost.
该项目的目标是开发和试点测试数量有限的免费计算机为基础的教学活动,提高学生的图形理解,特别是针对7年级和8年级的理科学生。此外,该项目正在开发一个试点评估工具,重点是学生对图表的理解(“图表素养”)。这些活动和评估工具正在缅因州进行试点测试,缅因州是一个农村州,家庭收入低于全国平均水平,高中毕业后学习STEM主题的学生人数不足。国家已将这一主题确定为来年重点关注的一个重要主题。图形素养是识别各种图形的重要特征并将这些特征与图形的上下文相关联的能力。 这不仅增加了学生对如何解释图形的理解,而且增加了对科学内容的理解。 这种图形素养的定义虽然基于数学和科学标准,但超出了许多图形知识评估所测试的技能,因为它们主要关注图形的阅读点,通常是学生学习和熟悉的图形类型。在扩展图形技能的通常定义的同时,该项目侧重于7-12年级的许多数学和科学课程以及报纸和杂志中遇到的散点图和折线图。图形是许多科目和几乎所有教育级别的STEM学习的核心。尽管图形的重要作用,所有年龄段的学生都表现出使用和解释图形的困难。目前正在开展的计算机图形扫盲活动是根据以前对学生使用和理解图形的广泛研究,以及在通过动态、交互式网页开展教育活动方面不断取得的进展,而这些网页不需要学校安装任何软件。 基于研究文献,有一个共识,即学生需要通过三个步骤来学习图形素养:识别和编码他们想要理解的图形的重要表面特征,例如标题,单位和轴标签;基于重复模式将该图形的视觉特征与数学关系联系起来(例如,线性增加或减少);以及将所有这些特征与图的上下文相结合。我们正在开发的活动是基于这种方法,因为正在开发的有效评估,以衡量学生的图形素养。该项目正在进行一个小型的,随机的实验性试验的图形识字活动在第二年的项目。的目标是确定图形识字活动在提高学生对图形的理解方面的有效性。在先前赠款下开发的开源软件和方法直接有助于该项目的成功。由于对使用在线资源进行教学和学习的兴趣越来越大,这项工作对广泛的受众具有潜在的变革性,包括教师,学生,研究人员以及所有STEM领域和年级的教学材料的开发者和出版商。图形素养的底层软件技术正在以开源计算机代码的形式提供,任何使用该代码的活动都在知识共享许可下发布。因此,图表扫盲活动和试点评估工具可以免费广泛采用。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Carolyn Staudt其他文献

Precipitating Change: Integrating Computational Thinking in Middle School Weather Forecasting
  • DOI:
    10.1007/s10956-024-10095-y
  • 发表时间:
    2024-03-04
  • 期刊:
  • 影响因子:
    5.500
  • 作者:
    Nanette I. Marcum-Dietrich;Meredith Bruozas;Rachel Becker-Klein;Emily Hoffman;Carolyn Staudt
  • 通讯作者:
    Carolyn Staudt

Carolyn Staudt的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Carolyn Staudt', 18)}}的其他基金

Precipitating Change in Alaskan and Hawaiian Schools: Modeling Mitigation of Coastal Erosion
阿拉斯加和夏威夷学校的急剧变化:模拟缓解海岸侵蚀
  • 批准号:
    2101198
  • 财政年份:
    2021
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant
Watershed Awareness using Technology and Environmental Research for Sustainability (WATERS)
利用可持续发展技术和环境研究提高流域意识 (WATERS)
  • 批准号:
    1850051
  • 财政年份:
    2019
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
EXP: Linking Complex Systems: Promoting Reasoning within and Across Interconnected Complex Systems
EXP:链接复杂系统:促进互连复杂系统内部和之间的推理
  • 批准号:
    1629526
  • 财政年份:
    2016
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Sensing Science through Modeling: Developing Kindergarten Students' Understanding of Matter and Its Changes
通过建模感知科学:培养幼儿园学生对物质及其变化的理解
  • 批准号:
    1621299
  • 财政年份:
    2016
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Integrating Meteorology, Mathematics, and Computational Thinking: Research on Students' Learning and Use of Data, Modeling, and Prediction Practices for Weather Forecasting
整合气象学、数学和计算思维:学生学习和使用天气预报数据、建模和预测实践的研究
  • 批准号:
    1640088
  • 财政年份:
    2016
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Model My Watershed - Teaching Environmental Sustainability
合作研究:模拟我的分水岭 - 教授环境可持续性
  • 批准号:
    1417722
  • 财政年份:
    2014
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant
Strategies: Water SCIENCE: Supporting Collaborative Inquiry, Engineering, and Career Exploration with Water
策略:水科学:支持水的协作探究、工程和职业探索
  • 批准号:
    1433761
  • 财政年份:
    2014
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Sensing Science: Heat and Temperature Readiness for Early Elementary Students
传感科学:早期小学生的热和温度准备
  • 批准号:
    1222892
  • 财政年份:
    2012
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
ITEST Scale-Up: Innovative Technology for Science Inquiry Scale-Up Project (ITSI-SU)
ITEST 扩大规模:科学探究扩大项目的创新技术 (ITSI-SU)
  • 批准号:
    0929540
  • 财政年份:
    2009
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant
Developing, Researching, and Scaling Up SmartGraphs
开发、研究和扩展 SmartGraph
  • 批准号:
    0918522
  • 财政年份:
    2009
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant

相似国自然基金

基于Graph-PINN的层结稳定度参数化建模与沙尘跨介质耦合传输模拟研
  • 批准号:
  • 批准年份:
    2025
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
平面三角剖分flip graph的强凸性研究
  • 批准号:
    12301432
  • 批准年份:
    2023
  • 资助金额:
    30.00 万元
  • 项目类别:
    青年科学基金项目
基于graph的多对比度磁共振图像重建方法
  • 批准号:
    61901188
  • 批准年份:
    2019
  • 资助金额:
    24.5 万元
  • 项目类别:
    青年科学基金项目
基于de bruijn graph梳理的宏基因组拼接算法开发
  • 批准号:
    61771009
  • 批准年份:
    2017
  • 资助金额:
    50.0 万元
  • 项目类别:
    面上项目
基于Graph和ISA的红外目标分割与识别方法研究
  • 批准号:
    61101246
  • 批准年份:
    2011
  • 资助金额:
    22.0 万元
  • 项目类别:
    青年科学基金项目
中国Web Graph的挖掘与应用研究
  • 批准号:
    60473122
  • 批准年份:
    2004
  • 资助金额:
    23.0 万元
  • 项目类别:
    面上项目

相似海外基金

Next-Generation Distributed Graph Engine for Big Graphs
适用于大图的下一代分布式图引擎
  • 批准号:
    DP240101322
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Discovery Projects
Large Graph Limits of Stochastic Processes on Random Graphs
随机图上随机过程的大图极限
  • 批准号:
    EP/Y027795/1
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Research Grant
Conference: 9th Lake Michigan Workshop on Combinatorics and Graph Theory
会议:第九届密歇根湖组合学和图论研讨会
  • 批准号:
    2349004
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: OAC Core: Distributed Graph Learning Cyberinfrastructure for Large-scale Spatiotemporal Prediction
合作研究:OAC Core:用于大规模时空预测的分布式图学习网络基础设施
  • 批准号:
    2403312
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
CAREER: Strategic Interactions, Learning, and Dynamics in Large-Scale Multi-Agent Systems: Achieving Tractability via Graph Limits
职业:大规模多智能体系统中的战略交互、学习和动态:通过图限制实现可处理性
  • 批准号:
    2340289
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant
Computing over Compressed Graph-Structured Data
压缩图结构数据的计算
  • 批准号:
    EP/X039447/1
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Research Grant
Toward Trustworthy Generative AI by Integrating Large Language Model with Knowledge Graph
通过将大型语言模型与知识图相结合,迈向可信赖的生成式人工智能
  • 批准号:
    24K20834
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
CAREER: Fast Scalable Graph Algorithms
职业:快速可扩展图算法
  • 批准号:
    2340048
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Continuing Grant
Collaborative Research: AF: Small: Structural Graph Algorithms via General Frameworks
合作研究:AF:小型:通过通用框架的结构图算法
  • 批准号:
    2347322
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
REU Site: Graph Learning and Network Analysis: from Foundations to Applications (GraLNA)
REU 网站:图学习和网络分析:从基础到应用 (GraLNA)
  • 批准号:
    2349369
  • 财政年份:
    2024
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了