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Developing a Generalized Storyline that Organizes the Supports for Evidence-based Modeling of Long-Term Impacts of Disturbances in Complex Systems

Developing a Generalized Storyline that Organizes the Supports for Evidence-based Modeling of Long-Term Impacts of Disturbances in Complex Systems
开发一个通用的故事情节,组织对复杂系统中干扰的长期影响的基于证据的建模的支持
批准号:
1813802
负责人:
Steven McGee
金额:
$500.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-15 至 2024-06-30

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中文摘要
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英文摘要
The Discovery Research K-12 program (DRK-12) seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools (RMTs). Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects. This project will support students to develop evidence-based explanations for the impact of disturbances on complex systems. The project will focus on middle school environmental science disciplinary core ideas in life, Earth, and physical sciences. There are a wide variety of complex systems principles at work in disturbance ecology. This project serves as a starting point on supporting students to coordinate different sources of information to parse out the direct and indirect effects of disturbances on components of a system and to examine the interconnections between components to predict whether a system will return to equilibrium (resilience) or the system will change into a new state (hysteresis). These same complex systems principles can be applied to other scientific phenomena, such as homeostasis and the spread of infectious disease. This project will bring the excitement of Luquillo Long Term Ecological Research (LTER) to classrooms outside of Puerto Rico, and has a special emphasis on low performing, low income, high minority schools in Chicago. Over 6000 students will directly benefit from participation in the research program. The units will be incorporated into the Journey to El Yunque web site for dissemination throughout Chicago Public Schools (CPS) and the LTER network. The units will be submitted for review at the Achieve network, thus extending the reach to teachers around the country. The project will impact science teachers and curriculum designers through an online course on storyline development. This project aims to improve students' ability to engage in argument from evidence and address what the literature has identified as a significant challenge, namely the ability to evaluate evidence. Researchers will also demonstrate how it is possible to make progress on implementing Next Generation Science Standards in low performing schools. Through the web-based platform, these results can be replicated across many other school districts.Researchers will to use the scientific context of the LTER program to develop a generalized storyline template for using evidence-based modeling to teach basic principles of disturbance ecology. Though a co-design process with middle school teachers in CPS, researchers will test the application of learning principles to a generalized storyline template by developing and evaluating three units on disturbance ecology - one life science, one Earth system science, and one physical science. Through a task analysis, researchers have identified three key areas of support for students to be successful at explaining how a system will respond to a disturbance. First, students need to be able to record evidence in a manner that will guide them to developing their explanation. Causal model diagrams have been used successfully in the past to organize evidence, but little is known about how students can use their causal diagrams for developing explanations. Second, there have been a wide variety of scaffolds developed to support the evaluation of scientific arguments, but less is known about how to support students in organizing their evidence to produce scientific arguments. Third, evidence-based modeling and scientific argumentation are not tasks that can be successfully accomplished by following a recipe. Students need to develop a task model to understand the reason why they are engaged in a particular task and how that task will contribute to the primary goal of explanation.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Engaging Middle School Students in Authentic Scientific Practices Can Enhance Their Understanding of Ecosystem Response to Hurricane Disturbance
让中学生参与真实的科学实践可以增强他们对生态系统对飓风干扰的响应的理解
DOI: 10.3390/f9100658
发表时间: 2018
期刊: Forests
影响因子: 2.9
作者: [McGee, Steven, Durik, Amanda, Zimmerman, Jess, McGee-Tekula, Randi, Duck, Jennifer]
通讯作者: Duck, Jennifer
Scientific communities of practice: K–12 outreach model around organism responses to repeated hurricane disturbances
科学实践社区:围绕生物体对反复飓风干扰的反应的 K-12 推广模型
DOI: 10.1002/ecs2.4624
发表时间: 2023
期刊: Ecosphere
影响因子: 2.7
作者: [Easley, Kathleen M., Zimmerman, Jess K., McGee, Steven, McGee‐Tekula, Randi]
通讯作者: McGee‐Tekula, Randi
Collaborative Research: CAFECS: AP CSP Access for All
  • 批准号:
    2219491
  • 项目类别:
    Standard Grant
  • 资助金额:
    $106.15万
  • 财政年份:
    2022
  • 负责人:
    Steven McGee
  • 依托单位:
Collaborative Research: CAFECS: Developing Equitable Computer Science Pathways from High School to College
  • 批准号:
    2122907
  • 项目类别:
    Standard Grant
  • 资助金额:
    $76.29万
  • 财政年份:
    2021
  • 负责人:
    Steven McGee
  • 依托单位:
Supporting the Scientific Practice of Data Analysis through Creative Investigations of Long-Term Ecological Datasets
  • 批准号:
    2049061
  • 项目类别:
    Standard Grant
  • 资助金额:
    $142.49万
  • 财政年份:
    2021
  • 负责人:
    Steven McGee
  • 依托单位:
Collaborative Research: CAFECS: Enhancing Culturally Responsive Teaching that Helps Students Build Connections Between Exploring Computer Science and their Lives
  • 批准号:
    2031480
  • 项目类别:
    Standard Grant
  • 资助金额:
    $71.87万
  • 财政年份:
    2020
  • 负责人:
    Steven McGee
  • 依托单位:
国内基金
海外基金
三维流形的Generalized Seifert Fiber分解
  • 批准号:
    11526046
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    3.0万元
  • 批准年份:
    2015
  • 负责人:
    王栋诩
  • 依托单位: