Scaffolding Computational Thinking Through Multilevel Systems Modeling

通过多级系统建模搭建计算思维

基本信息

  • 批准号:
    1842037
  • 负责人:
  • 金额:
    $ 127.24万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-09-15 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

As computing has become integral to the practice of science, technology, engineering and mathematics (STEM), the STEM+Computing program seeks to address emerging challenges in computational STEM areas through the applied integration of computational thinking and computing activities within STEM teaching and learning in early childhood education through high school (preK-12). This project is supported by the STEM+C program and will advance its mission by building on the work of a previous project that developed a system modeling tool, SageModeler, for use by middle and high school students. This project will: (1) Extend the capabilities of the modeling tool to scaffold construction of system dynamics models; (2) Develop curricular materials that support students in creating, testing, revising, and sharing dynamic models of natural systems; (3) Research the progression of student modeling practices and computational thinking across curricular contexts; and (4) Study instructional challenges teacher encounter when adopting a model-based approach to teaching topics in physics, chemistry, biology, Earth science, and environmental science at the high school level. The goal of this project is to advance understanding of how student modeling practices and computational thinking develop over time and across investigations of phenomena of increasing complexity. The project will also develop a set of curricular materials that support students in creating, testing, revising, and sharing system dynamic models in order to make sense of complex natural phenomena. The modeling tool and all materials will be made freely available to schools and teachers, and the software has been translated into several languages, including Spanish. With translation options and a tool that is designed to facilitate computational modeling without traditional coding or the writing of mathematical equations, this project has the potential to broaden the participation of a greater diversity of students in STEM and computational thinking. Systems thinking and computational modeling are essential practices for addressing some of the most challenging scientific and societal problems, but systems thinking and causal reasoning are difficult for students. The outcomes of complex system models can be counterintuitive, and it is often difficult to know which components of a system will have significant impacts on outcomes. To facilitate student engagement in modeling complex natural systems, the free, web-based SageModeler tool was developed and tested with middle and high school students. The existing tool is limited, however, in its ability to support the development of reliable models of complex dynamic systems. This project is guided by the hypothesis that student computational practices and modeling of complex natural systems can be improved through use of improved modeling software, development of appropriate curricular scaffolds, and providing teachers with professional learning opportunities to gain relevant pedagogical content knowledge related to system modeling, computational thinking, and the natural phenomena to be explored. To test this hypothesis, this research and development project will pursue answers to three research questions: (1) How do scientific explanations of phenomena evolve as students engage in computational thinking in the context of system modeling? (2) In what ways can curricular materials and technological tools best scaffold the development of students' computational thinking and system modeling practice? And (3) What pedagogical strategies are effective for scaffolding students in computational thinking through modeling complex systems? A variety of data sources and data analytic approaches will be employed throughout the course of the project to guide development of materials and track outcomes among participating students and teachers in two geographic locations having diverse student populations. The overall goal of the project is to research and disseminate technological, curricular, and pedagogical scaffolds needed to support students and teachers in developing computational thinking in the context of system modeling and utilizing a system modeling approach for exploring phenomena across multiple STEM disciplines. In pursuing this goal, the project will: (1) Expand the modeling capabilities of SageModeler and the ability to share models within an online activity delivery and reporting system; (2) Refine and adapt existing curricular units and create new units as needed for five major secondary school STEM disciplines; (3) Conduct research on how students learn while engaging in systems thinking and modeling; (4) Develop educative teacher materials and a professional learning program that includes a professional learning community focusing on system modeling and computational thinking; and (5) Disseminate project products and research findings broadly.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.
由于计算已经成为科学、技术、工程和数学(STEM)实践中不可或缺的一部分,STEM+计算计划旨在通过将计算思维和计算活动应用于高中(preK-12)早期儿童教育的STEM教学和学习,来解决计算STEM领域的新挑战。该项目得到了STEM+C项目的支持,并将通过建立之前开发供中学生使用的系统建模工具SageModeler的项目的工作来推进其使命。该项目将:(1)扩展建模工具的功能,以支撑系统动力学模型的构建;(2)开发课程材料,支持学生创建、测试、修改和分享自然系统的动态模型;(3)研究学生建模实践和计算思维在课程背景下的发展;(4)研究教师在采用基于模型的方法教授高中物理、化学、生物、地球科学和环境科学主题时遇到的教学挑战。该项目的目标是促进对学生建模实践和计算思维如何随着时间的推移和对日益复杂的现象的研究而发展的理解。该项目还将开发一套课程材料,支持学生创建、测试、修改和共享系统动态模型,以理解复杂的自然现象。建模工具和所有材料将免费提供给学校和教师,该软件已被翻译成几种语言,包括西班牙语。该项目有翻译选项和一个工具,旨在促进计算建模,而无需传统编码或编写数学方程,有可能扩大更多学生对STEM和计算思维的参与。系统思维和计算建模是解决一些最具挑战性的科学和社会问题的基本实践,但系统思维和因果推理对学生来说很难。复杂系统模型的结果可能是违反直觉的,并且通常很难知道系统的哪些组件将对结果产生重大影响。为了促进学生参与复杂自然系统的建模,开发了免费的、基于web的SageModeler工具,并在初高中学生中进行了测试。然而,现有的工具在支持开发复杂动态系统的可靠模型方面是有限的。本项目的指导假设是,通过使用改进的建模软件,开发适当的课程框架,以及为教师提供专业学习机会,获得与系统建模、计算思维和所要探索的自然现象相关的教学内容知识,可以提高学生对复杂自然系统的计算实践和建模能力。为了验证这一假设,本研究和发展项目将寻求三个研究问题的答案:(1)当学生在系统建模的背景下从事计算思维时,现象的科学解释是如何演变的?(2)课程材料和技术工具在哪些方面可以最好地支撑学生的计算思维和系统建模实践的发展?(3)通过对复杂系统建模,哪些教学策略对搭建学生的计算思维是有效的?在整个项目过程中,将采用各种数据源和数据分析方法来指导材料的开发,并跟踪两个地理位置不同学生群体的参与学生和教师的成果。该项目的总体目标是研究和传播所需的技术、课程和教学框架,以支持学生和教师在系统建模的背景下发展计算思维,并利用系统建模方法探索多个STEM学科的现象。为了实现这一目标,该项目将:(1)扩展SageModeler的建模功能,以及在在线活动交付和报告系统中共享模型的能力;(2)完善和调整现有课程单元,并根据五个主要中学STEM学科的需要创建新单元;(3)研究学生在进行系统思维和建模的过程中如何学习;(4)开发有教育意义的教材和专业学习计划,其中包括一个专注于系统建模和计算思维的专业学习社区;(5)广泛传播项目产品和研究成果。该奖项反映了美国国家科学基金会的法定使命,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。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Characterizing Advantages and Challenges for Students Engaging in Computational Thinking and Systems Thinking Through Model Construction
通过模型构建描述学生从事计算思维和系统思维的优势和挑战
Keeping Cool With SageModeler: Engaging Students in Systems Thinking and Computational Thinking Through Modeling
与 SageModeler 保持冷静:通过建模让学生参与系统思维和计算思维
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bowers, J.;Damelin, D.;Eidin, E.;McIntyre, C.
  • 通讯作者:
    McIntyre, C.
Promoting computational thinking through project-based learning
Correction to: Supporting Student System Modelling Practice Through Curriculum and Technology Design
更正:通过课程和技术设计支持学生系统建模实践
  • DOI:
    10.1007/s10956-021-09948-7
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Bielik, Tom;Stephens, Lynn;McIntyre, Cynthia;Damelin, Daniel;Krajcik, Joseph S.
  • 通讯作者:
    Krajcik, Joseph S.
A framework for supporting systems thinking and computational thinking through constructing models
通过构建模型支持系统思维和计算思维的框架
  • DOI:
    10.1007/s11251-022-09590-9
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Shin, Namsoo;Bowers, Jonathan;Roderick, Steve;McIntyre, Cynthia;Stephens, A. Lynn;Eidin, Emil;Krajcik, Joseph;Damelin, Daniel
  • 通讯作者:
    Damelin, Daniel
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Joseph Krajcik其他文献

Correction to: Thinking in Terms of Change over Time: Opportunities and Challenges of Using System Dynamics Models
  • DOI:
    10.1007/s10956-023-10071-y
  • 发表时间:
    2023-08-31
  • 期刊:
  • 影响因子:
    5.500
  • 作者:
    Emil Eidin;Tom Bielik;Israel Touitou;Jonathan Bowers;Cynthia McIntyre;Dan Damelin;Joseph Krajcik
  • 通讯作者:
    Joseph Krajcik
The Cambridge Handbook of the Learning Sciences: Project-Based Learning
剑桥学习科学手册:基于项目的学习
  • DOI:
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joseph Krajcik;P. Blumenfeld
  • 通讯作者:
    P. Blumenfeld
Adapting scientific modeling practice for promoting elementary students’ productive disciplinary engagement
采用科学建模实践来促进小学生富有成效的学科参与
STEM Research Trends From 2013 to 2022: A Systematic Literature Review
2013年至2022年STEM研究趋势:系统文献综述
Using Mobile Devices to Connect Teachers and Museum Educators
  • DOI:
    10.1007/s11165-015-9512-8
  • 发表时间:
    2016-03-31
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Ibrahim Delen;Joseph Krajcik
  • 通讯作者:
    Joseph Krajcik

Joseph Krajcik的其他文献

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{{ truncateString('Joseph Krajcik', 18)}}的其他基金

Supporting Instructional Decision Making: The Potential of An Automatically Scored Three-dimensional Assessment System
支持教学决策:自动评分三维评估系统的潜力
  • 批准号:
    2100964
  • 财政年份:
    2021
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Continuing Grant
Collaborative Research: Supporting Secondary Students in Building External Models
合作研究:支持中学生建立外部模型
  • 批准号:
    1417900
  • 财政年份:
    2014
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Continuing Grant
Exploring Potential Learning Trajectories for the Energy Concept in Middle School
探索中学能源概念的潜在学习轨迹
  • 批准号:
    1431725
  • 财政年份:
    2014
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Standard Grant
Collaborative Research: Designing Assessments in Physical Science Across Three Dimensions
合作研究:跨三个维度设计物理科学评估
  • 批准号:
    1316908
  • 财政年份:
    2013
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Continuing Grant
Developing and Testing a Model to Support Student Understanding of the Sub-Microscopic Interactions that Govern Biological and Chemical Processes
开发和测试模型以支持学生理解控制生物和化学过程的亚微观相互作用
  • 批准号:
    1118671
  • 财政年份:
    2011
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Continuing Grant
Developing and Testing a Model to Support Student Understanding of the Sub-Microscopic Interactions that Govern Biological and Chemical Processes
开发和测试模型以支持学生理解控制生物和化学过程的亚微观相互作用
  • 批准号:
    1232388
  • 财政年份:
    2011
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Continuing Grant
NSF-RAPID: Model for Implementing the Next Generation of Science Standards
NSF-RAPID:实施下一代科学标准的模型
  • 批准号:
    1153280
  • 财政年份:
    2011
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Standard Grant
NSF-RAPID: Model for Implementing the Next Generation of Science Standards
NSF-RAPID:实施下一代科学标准的模型
  • 批准号:
    1225661
  • 财政年份:
    2011
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Standard Grant
A Workshop to Identify and Clarify Nanoscale Learning Goals; February 2006, Menlo Park, California
确定和澄清纳米级学习目标的研讨会;
  • 批准号:
    0608936
  • 财政年份:
    2006
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Standard Grant
SGER: Effects of Standards-based Curriculum in Urban Systemic Reform on Student Statewide Standardized Test Achievement
SGER:城市体系改革中基于标准的课程对学生全州标准化考试成绩的影响
  • 批准号:
    0432085
  • 财政年份:
    2004
  • 资助金额:
    $ 127.24万
  • 项目类别:
    Standard Grant

相似国自然基金

Computational Methods for Analyzing Toponome Data
  • 批准号:
    60601030
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
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Scaffolding Computational Thinking in Introductory Computer Science through a Conversational Agent
通过对话代理在计算机科学入门中搭建计算思维的脚手架
  • 批准号:
    2235601
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    2023
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Collaborative Research: Embodied Interactive Environment for Advancing Data Sensing and Computational Thinking Skills in the Built Environment
协作研究:在建筑环境中提升数据感知和计算思维技能的具体交互环境
  • 批准号:
    2241785
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    2023
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    $ 127.24万
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Collaborative Research: Unpacking Computational Thinking for Elementary Teachers and Learners
协作研究:为小学教师和学习者解开计算思维
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    2023
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