Collaborative Research: Improving Student Learning in Hydrology & Water Resources Engineering by Enabling the Development, Sharing and Interoperability of Active Learning Resou
合作研究:提高学生的水文学学习
基本信息
- 批准号:1725989
- 负责人:
- 金额:$ 24.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-01 至 2022-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Hydrology and water resources engineering is an important subject area for undergraduate engineering students who pursue careers related to water management and water infrastructure, such as flood forecasting and flood protection. By developing a web-based platform (HydroLearn) to facilitate collaboration and sharing of online active-learning teaching resources, this project will change the way in which learning resources are developed and adopted. Using modern web technologies, HydroLearn will provide national and global access to materials that will enable faculty to collaboratively develop learning content in the area of water resources. HydroLearn will be a collaboration with the National Water Center and will use their National Water Model to provide students and faculty with innovative learning opportunities that address water problems with immediate community impacts. To disseminate the results at a national scale, investigators will collaborate with the Consortium of Universities for the Advancement of Hydrologic Science, Inc., which represents more than 100 U.S. universities and organizations. Further, during this project, fellowships for faculty and early-career scientists will be provided to support the development and testing of the learning resources via engagement with the water resources engineering community.More specifically, this project has two main objectives: (1) to support hydrology and water resources engineering faculty to develop, share, and adopt active-learning innovations; and (2) to support effective student learning in key areas of hydrology and water resources engineering, focusing on flood analysis, modeling, forecasting and protection. Using an interactive process of development and propagation, the web-based platform (HydroLearn) that will be developed will showcase the following capabilities: (a) interoperability and integration with community hydrologic data and modeling resources; (b) flexibility in faculty users being able to create their own content modules; (c) creating material ownership via crowdsourcing of learning content using an open source approach to develop a sense of community; and (d) ease in teaching material adoption and customization. The project will contribute to closing the gap between development of innovations and actual adoption by following a design model that engages potential adopters at early stages and throughout the entire project using an active dissemination approach with direct feedback on adopters' needs to facilitate future utility and adoption.
水文和水资源工程是本科工程专业学生的一个重要学科领域,他们从事与水管理和水基础设施相关的职业,如洪水预报和防洪。 透过发展一个网上平台(HydroLearn),以促进网上互动学习教学资源的合作和分享,这个项目将改变开发和采用学习资源的方式。利用现代网络技术,HydroLearn将提供国家和全球访问材料,使教师能够合作开发水资源领域的学习内容。HydroLearn将与国家水中心合作,并将使用他们的国家水模型为学生和教师提供创新的学习机会,解决具有直接社区影响的水问题。为了在全国范围内传播研究结果,研究人员将与水文科学促进大学联盟合作,它代表了100多所美国大学和组织。此外,在本项目期间,将为教师和早期职业科学家提供奖学金,以支持通过与水资源工程界的接触开发和测试学习资源。更具体地说,本项目有两个主要目标:(1)支持水文和水资源工程学院开发,分享和采用主动学习创新;(2)支持学生在水文和水资源工程关键领域的有效学习,重点是洪水分析、建模、预报和防护。利用互动的开发和传播过程,(HydroLearn)将展示以下能力:(a)与社区水文数据和建模资源的互操作性和集成;(B)教师用户能够灵活地创建自己的内容模块;(c)利用开放源码的方法,通过学习内容的众包建立材料所有权,以培养社区意识;以及(d)易于采用和定制教材。该项目将有助于缩小创新发展与实际采用之间的差距,方法是采用一种设计模式,在早期阶段和整个项目期间利用积极的传播方法,直接反馈采用者的需求,以促进未来的实用性和采用。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Sharing Experiences in Designing Professional Learning to Support Hydrology and Water Resources Instructors to Create High-Quality Curricular Materials
分享设计专业学习的经验,支持水文学和水资源教师创作高质量的课程材料
- DOI:10.3389/feduc.2022.890379
- 发表时间:2022
- 期刊:
- 影响因子:2.3
- 作者:Gallagher, Melissa A.;Habib, Emad H.;Williams, Douglas;Lane, Belize;Byrd, Jenny L.;Tarboton, David
- 通讯作者:Tarboton, David
Advancing Hydroinformatics and Water Data Science Instruction: Community Perspectives and Online Learning Resources
推进水信息学和水数据科学教学:社区观点和在线学习资源
- DOI:10.3389/frwa.2022.901393
- 发表时间:2022
- 期刊:
- 影响因子:2.9
- 作者:Jones, Amber Spackman;Horsburgh, Jeffery S.;Bastidas Pacheco, Camilo J.;Flint, Courtney G.;Lane, Belize A.
- 通讯作者:Lane, Belize A.
An open web‐based module developed to advance data‐driven hydrologic process learning
一个基于开放网络的模块,旨在推进数据驱动的水文过程学习
- DOI:10.1002/hyp.14273
- 发表时间:2021
- 期刊:
- 影响因子:3.2
- 作者:Lane, Belize;Garousi‐Nejad, Irene;Gallagher, Melissa A.;Tarboton, David G.;Habib, Emad
- 通讯作者:Habib, Emad
HydroLearn: Improving Students’ Conceptual Understanding and Technical Skills in a Civil Engineering Senior Design Course
HydroLearn:提高学生土木工程高级设计课程的概念理解和技术技能
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Gallagher, Melissa Ann;Byrd, Jenny;Habib, Emad;Tarboton, David G;Willson, Clinton S
- 通讯作者:Willson, Clinton S
Engineering Students’ Perceptions of Mathematical Modeling in a Learning Module Centered on a Hydrologic Design Case Study
工科学生对以水文设计案例研究为中心的学习模块中数学建模的看法
- DOI:10.1007/s40753-020-00131-8
- 发表时间:2021
- 期刊:
- 影响因子:1.5
- 作者:Merck, Madeline F.;Gallagher, Melissa A.;Habib, Emad;Tarboton, David
- 通讯作者:Tarboton, David
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David Tarboton其他文献
Intercomparison of the U.S. National Water Model with OpenET over the Bear River Basin, U.S.
美国国家水模型与美国贝尔河盆地的 OpenET 之间的比对
- DOI:
10.1016/j.jhydrol.2025.132826 - 发表时间:
2025-08-01 - 期刊:
- 影响因子:6.300
- 作者:
Ayman Nassar;David Tarboton;Martha Anderson;Yun Yang;Joshua B. Fisher;Adam J. Purdy;Furqan Baig;Cenlin He;David Gochis;Forrest Melton;John Volk - 通讯作者:
John Volk
David Tarboton的其他文献
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{{ truncateString('David Tarboton', 18)}}的其他基金
EarthCube Data Capabilities: Collaborative Research: Integration of Reproducibility into Community CyberInfrastructure
EarthCube 数据功能:协作研究:将可重复性集成到社区网络基础设施中
- 批准号:
1928369 - 财政年份:2019
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
Collaborative Research: Framework: Software: NSCI : Computational and data innovation implementing a national community hydrologic modeling framework for scientific discovery
合作研究:框架:软件:NSCI:计算和数据创新实施国家社区水文建模框架以促进科学发现
- 批准号:
1835569 - 财政年份:2018
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis
合作研究:SI2-SSI:通过数据科学、建模和分析的协作集成推进水文知识的网络基础设施
- 批准号:
1664061 - 财政年份:2017
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
RAPID:Archiving and Enabling Community Access to Data from Recent US Hurricanes
RAPID:存档并允许社区访问最近美国飓风的数据
- 批准号:
1761673 - 财政年份:2017
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
EarthCube Building Blocks: Collaborative Proposal: GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications
EarthCube 构建模块:协作提案:GeoTrust:提高地球科学应用的共享性和可重复性
- 批准号:
1639655 - 财政年份:2016
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
Collaborative Research: SI2-SSI: An Interactive Software Infrastructure for Sustaining Collaborative Community Innovation in the Hydrologic Sciences
协作研究:SI2-SSI:用于维持水文科学领域协作社区创新的交互式软件基础设施
- 批准号:
1148453 - 财政年份:2012
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
Collaborative Research: Development of Adaptable Web Modules to Stimulate Active Learning in Hydrology using Data and Model Simulations
协作研究:开发适应性网络模块,利用数据和模型模拟促进水文学主动学习
- 批准号:
1122812 - 财政年份:2011
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
U.S.-New Zealand Cooperative Research: Spatially Distributed Hydrologic Models and Spatial Patterns
美国-新西兰合作研究:空间分布水文模型和空间模式
- 批准号:
9724720 - 财政年份:1997
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
Geomorphological Processes, Scale and the Evolution of Fluvial Landforms
地貌过程、规模和河流地貌的演化
- 批准号:
9318977 - 财政年份:1994
- 资助金额:
$ 24.93万 - 项目类别:
Standard Grant
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