Research on Effects of Integrating Computational Science and Model Building in Water Systems Teaching and Learning

计算科学与模型构建相结合在水系统教学中的效果研究

基本信息

  • 批准号:
    1543228
  • 负责人:
  • 金额:
    $ 220万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2022-05-31
  • 项目状态:
    已结题

项目摘要

As computational capabilities increasingly revolutionize and become integral to the practice of science, technology, engineering, and math (STEM) disciplines, the STEM+Computing (STEM+C) Partnerships program seeks to integrate the use of computational approaches in K-12 STEM teaching and learning. The Comp Hydro project will address the goals of the STEM+C program, as well as an urgent issue facing society: the availability of clean water as an ecosystem service supporting human uses and ecological integrity. The vision of Comp Hydro is to foster water and computational science literacy by integrating authentic, place- and data-based learning as high school students build and use physical, mathematical and conceptual models. The approaches and resources of Comp Hydro will be developed in a broad diversity of settings - types of schools and school systems, student and teacher populations, instructional contexts, and regional challenges and constraints on water quality and availability. Teams in four locations around the country will adapt surface water- and groundwater-themed computer modules to local environmental and school contexts, will pilot test them in high school Earth and environmental science classes, and will partner in education research on student and teacher STEM learning. Approximately 2,400 students will be involved with and benefit from the project. The diverse nature of the participating school districts will both engage a demographically diverse student population in STEM and help the project achieve significant broader impacts, by assuring that the findings and tools developed reflect the needs of a broad diversity of people and places. Through curricular resource creation and professional development for teachers, Comp Hydro will help to build the capacity of each school district to integrate computational and environmental science. Instructional materials based on learning progressions will support students in developing water science literacy required for informed citizen decision-making. The Comp Hydro project will address one of the most daunting challenges to developing scientific literacy in students: integrating teaching and learning of key ideas and practices of place-based environmental science with computational and quantitative science in authentic, innovative and effective ways. The basic premise of the project is that to achieve model-based reasoning in environmental science, a student needs to concurrently develop more sophisticated computational reasoning. Four curriculum/professional development modules will be developed to integrate Earth system and computational thinking content. They will focus on these computational concepts and practices: ability to access and manipulate data from multiple sources; ability to use computational tools to develop models, analyze data, produce data visualizations, and identify key trends; application of computational reasoning and model-based understanding to construct quantitative, scientific explanations and predictions regarding hydrologic systems. The project will: 1) develop and refine instructional units for surface and groundwater, each comprising two 1-week modules, 2) engage teachers as partners and agents of dissemination, 3) study teacher and student learning, 4) explore supports and constraints on teaching, and 5) build a platform for project research and development and dissemination. The project will engage four teams of 6 teachers, who will work over two school years with educators and scientists at four diverse sites (Arizona, Colorado, Maryland, and Montana). Comp Hydro will utilize a design-based research approach, grounded in learning progressions as a theoretical and methodological frame, for both its research and instructional materials. The project will integrate computational and data sense making practices and understandings into the Water Systems Learning Progression. It will produce a trajectory of learning and associated assessment instruments that can describe how students become more sophisticated with respect to integrated scientific practices, including analyzing, interpreting and representing data; developing and using models; using computational thinking; and constructing scientific explanations and predictions about hydrologic systems. The project also will develop a set of design principles, and an associated computer platform for broader dissemination and for supporting teachers in integrating the use of big and small data sets into meaningful environmental science learning experiences with high school students.
随着计算能力日益彻底变革并成为科学、技术、工程和数学 (STEM) 学科实践的组成部分,STEM+计算 (STEM+C) 合作伙伴计划力求将计算方法的使用整合到 K-12 STEM 教学中和学习。 Comp Hydro 项目将解决 STEM+C 计划的目标,以及社会面临的紧迫问题:提供清洁水作为支持人类利用和生态完整性的生态系统服务。 Comp Hydro 的愿景是通过在高中生构建和使用物理、数学和概念模型时整合真实的、基于地点和数据的学习来培养水和计算科学素养。 Comp Hydro 的方法和资源将在广泛的多样化环境中开发 - 学校和学校系统的类型、学生和教师人数、教学环境以及水质和可用性的区域挑战和限制。全国四个地点的团队将根据当地环境和学校环境调整地表水和地下水主题的计算机模块,在高中地球和环境科学课程中对其进行试点测试,并将合作开展学生和教师 STEM 学习的教育研究。大约 2,400 名学生将参与该项目并从中受益。参与学区的多元化性质将吸引人口结构多样化的学生群体参与 STEM,并通过确保研究结果和开发的工具反映广泛多样性的人和地方的需求,帮助该项目实现更广泛的影响。 通过课程资源创建和教师专业发展,Comp Hydro 将帮助建设每个学区整合计算和环境科学的能力。 基于学习进度的教学材料将支持学生培养公民知情决策所需的水科学素养。 Comp Hydro 项目将解决培养学生科学素养最艰巨的挑战之一:以真实、创新和有效的方式将基于地方的环境科学的关键思想和实践与计算和定量科学的教学和学习相结合。该项目的基本前提是,为了在环境科学中实现基于模型的推理,学生需要同时开发更复杂的计算推理。将开发四个课程/专业发展模块,以整合地球系统和计算思维内容。 他们将重点关注这些计算概念和实践:访问和操作多个来源的数据的能力;能够使用计算工具开发模型、分析数据、生成数据可视化并识别关键趋势;应用计算推理和基于模型的理解来构建有关水文系统的定量、科学的解释和预测。 该项目将:1) 开发和完善地表水和地下水教学单元,每个教学单元包含两个为期 1 周的模块,2) 让教师作为合作伙伴和传播媒介,3) 研究教师和学生的学习,4) 探索对地表水和地下水的支持和限制。教学,5)搭建项目研发和传播平台。该项目将聘请由 6 名教师组成的四个团队,他们将在两个学年的时间内与四个不同地点(亚利桑那州、科罗拉多州、马里兰州和蒙大拿州)的教育工作者和科学家一起工作。 Comp Hydro 将采用基于设计的研究方法,以学习进展为理论和方法框架,用于其研究和教学材料。该项目将把计算和数据意义的实践和理解整合到水系统学习进程中。它将产生一个学习轨迹和相关的评估工具,可以描述学生如何在综合科学实践方面变得更加成熟,包括分析、解释和表示数据;开发和使用模型;使用计算思维;构建有关水文系统的科学解释和预测。该项目还将开发一套设计原则和一个相关的计算机平台,以进行更广泛的传播,并支持教师将大小数据集的使用整合到高中生有意义的环境科学学习体验中。

项目成果

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John Moore其他文献

Miniature C-arm simulator using wireless accelerometer based tracking
使用基于无线加速度计的跟踪的微型 C 形臂模拟器
Stealth ship sets sail for a quiet life fishing for data
隐形船起航寻找数据过平静生活
  • DOI:
    10.1038/423007b
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    64.8
  • 作者:
    John Moore
  • 通讯作者:
    John Moore
Using Recurrent Neural Networks in Trajectory Prediction
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    John Moore
  • 通讯作者:
    John Moore
Stem cells in the aetiopathogenesis and therapy of rheumatic disease.
干细胞在风湿病发病机制和治疗中的作用。
Profound Hypocalcemia after Near-Total Thyroidectomy in a Roux-en-Y Gastric Bypass Patient
Roux-en-Y 胃绕道手术患者甲状腺近全切除术后出现严重低钙血症
  • DOI:
    10.1177/000313481007600404
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Eric M. Salinger;John Moore
  • 通讯作者:
    John Moore

John Moore的其他文献

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{{ truncateString('John Moore', 18)}}的其他基金

Determining the Driving Force for Fatigue Crack Nucleation in a Superelastic Nickel Titanium Shape Memory Alloy
确定超弹性镍钛形状记忆合金疲劳裂纹形核的驱动力
  • 批准号:
    1934753
  • 财政年份:
    2019
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
SBIR Phase II: Ultra-large and low-cost Electrodynamic Modeling in Commercial Clouds
SBIR第二阶段:商业云中的超大型、低成本电动力学建模
  • 批准号:
    1738397
  • 财政年份:
    2017
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
STTR Phase I: Ultra-large and low-cost electrodynamic modeling in commercial clouds
STTR第一阶段:商业云中的超大规模、低成本电动力学建模
  • 批准号:
    1549673
  • 财政年份:
    2016
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
Credit and Labour Market Foundations of the Macroeconomy
宏观经济的信贷和劳动力市场基础
  • 批准号:
    ES/L009633/1
  • 财政年份:
    2015
  • 资助金额:
    $ 220万
  • 项目类别:
    Research Grant
Pathways to Environmental Science and Sustainability
环境科学和可持续发展之路
  • 批准号:
    1356358
  • 财政年份:
    2014
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
ChemPRIME: Illustrating Chemistry Concepts with Multiple Contexts
ChemPRIME:用多种背景阐释化学概念
  • 批准号:
    1156433
  • 财政年份:
    2011
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
Shortgrass Steppe LTER VI: Examining Ecosystem Persistence and Responses to Global Change
短草草原 LTER VI:检查生态系统的持久性和对全球变化的响应
  • 批准号:
    1027319
  • 财政年份:
    2011
  • 资助金额:
    $ 220万
  • 项目类别:
    Continuing Grant
Expanding the ChemEd DL to Enhance Pedagogic Impact
扩展 ChemEd DL 以增强教学影响
  • 批准号:
    1044239
  • 财政年份:
    2010
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
DISSERTATION RESEARCH: Dynamics of labile organic matter fractions in arctic soils
论文研究:北极土壤中不稳定有机物组分的动态
  • 批准号:
    0909747
  • 财政年份:
    2009
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant
Collaborative Project: ChemEd DL: Extending a Unique Pathway for Chemical Education
合作项目:ChemEd DL:拓展化学教育的独特途径
  • 批准号:
    0938039
  • 财政年份:
    2009
  • 资助金额:
    $ 220万
  • 项目类别:
    Standard Grant

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