ED43E:
Tools and Methods for Data Driven Education in the Water Sciences I Posters

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Session ID#: 13602

Session Description:
Incorporating real data into a lesson plan or activity can create a more profound learning experience for students to better understand a scientific concept or event. With this pedagogical approach, students can learn how places they are familiar with can be observed and analyzed digitally, the challenges of conducting research such as data scarcity, and how to properly reuse data through the understanding of metadata. Recent community investments have resulted in the development of tools and services for data reuse that have lowered the barriers to making this approach possible for hydrology and related sciences. In this session, presentations which describe place-based, data-driven learning exercises will be solicited to highlight learning outcomes enabled by the use of data, tools, and other resources available to educators in the university community.
Primary Convener:  Jon Pollak, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Conveners:  Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States and Emily Clark, Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, MA, United States
Chairs:  Richard P Hooper1, Jon Pollak1 and Emily Clark2, (1)Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States(2)Consortium of Universities for the Advancement of Hydrologic Science, Inc., Cambridge, MA, United States
OSPA Liaison:  Richard P Hooper, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States

Cross-Listed:
  • H - Hydrology
Index Terms:

0820 Curriculum and laboratory design [EDUCATION]
0825 Teaching methods [EDUCATION]
0845 Instructional tools [EDUCATION]
1899 General or miscellaneous [HYDROLOGY]

Abstracts Submitted to this Session:

An Interactive Computer Tool for Teaching About Desalination and Managing Water Demand in the US (144380)
Jad R. Ziolkowska and Reuben Reyes, University of Oklahoma Norman Campus, Norman, OK, United States
Tools & Support for Integrating Real Environmental Data into Education (157936)
Liza Brazil, Consortium of Universities for the Advancement of Hydrological Science, Washington, DC, United States
Making sense of monitoring data using Jupyter Notebooks: a case study of dissolved oxygen dynamics across a fresh-estuarine gradient (179429)
Natalie Nelson, North Carolina State University, Biological and Agricultural Engineering, Raleigh, United States and Prof. Rafael Munoz-Carpena, Ph.D., University of Florida (Visiting Professor at Public University of Navarra, Spain), Agricultural and Biological Engineering, Gainesville, FL, United States
Exploring the Unknown: Cabled Ocean Observatory Data and Discovery in University Education (192787)
Martin Scherwath1, David J. Riddell2, Maia Hoeberechts3, Alexandrine Bourdeault-Fournier2, Jennifer Schine4, Pietro Maria Paolo Sammarco5 and Monika S. Pelz6, (1)University of Victoria, Ocean Networks Canada, Victoria, BC, Canada, (2)University of Victoria, Victoria, BC, Canada, (3)Ocean Networks Canada, University of Victoria, Victoria, BC, Canada, (4)Salmon Coast Field Station, Simoom Sound, BC, Canada, (5)Pippo Sound, Vancouver, BC, Canada, (6)Ocean Networks Canada, Learning and Engagement, Victoria, BC, Canada
Development of a Pilot Learning Module on Water Energy Nexus Using a Data-Analytic and Hypothesis-Driven Approach (194748)
Hisham Eldardiry, University of Washington, Seattle Campus, Department of Civil and Environmental Engineering, Seattle, WA, United States, Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States, Hanz Gunter Unruh Sr, University of Louisiana at Lafayette, Department of Civil Engineering, Lafayette, LA, United States and Vincent Carroll Tidwell, Sandia Natl Laboratories, Albuquerque, United States
A Community Cyberinfrastructure for Data Driven University Hydrology Education (197598)
Benjamin L Ruddell, Arizona State University, Tempe, AZ, United States and Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, IN, United States

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