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Introducing Research Concepts to Middle School Students via a Geospatial Science Gateway

Published: 22 July 2018 Publication History

Abstract

Tools developed for the Geospatial Data Analysis Building Blocks (GABBs) project that are available on MyGeoHub.org have been used for a geospatial experience for middle school students at Turned Onto Technology & Leadership (TOTAL) summer camps at Purdue University during 2016 and 2017. Thirty to thirty-six middle school students from diverse backgrounds and from around the United States used one such tool, MultiSpec Online to determine the area of a flood which occurred in June 2008 in southern Illinois and Indiana using Landsat 5 multispectral satellite data. The students also got hands-on experience using the GeoBuilder tool to find locations within Indiana with the highest reported rain events.
The students received introductions to remote sensing, Geobuilder and MultiSpec Online during a one-day session and the following day they participated in a 75-minute active learning session to work through the exercises. The GABBs team worked closely with the students in multiple sessions helping them with technical questions and at the same time, collecting valuable feedback in how to improve the tools.
At the end of the session for the second year, the students completed a four-question evaluation form to provide structured feedback. It was clear that the students were much more excited about the active learning session than the introduction (presentation) session.

References

[1]
M. McLennan, R. Kennell, HUBzero: A Platform for Dissemination and Collaboration in Computational Science and Engineering, Computing in Science and Engineering 12 (2) (2010) 48--52.
[2]
R. Kalyanam, R. Campbell, D. Kearney, L. Delgass, L. Biehl, L. Zhao, C. Ellis and C. Song. 2017. Cloud-enabling a Collaborative Research Platform: the GABBs Story. In Proceedings of PEARC17, New Orleans, LA, USA. July 09--13, 2017, 8 pages
[3]
L. Biehl and D. Landgrebe. 2002 MultiSpec -- A Tool for Multispectral-Hyperspectral Image Data Analysis. Computers and Geosciences 28, 10 (2002), 1153--159.

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PEARC '18: Proceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity
July 2018
652 pages
ISBN:9781450364461
DOI:10.1145/3219104
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2018

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Author Tags

  1. Cyberinfrastructure
  2. science gateway

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  • Refereed limited

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PEARC '18

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PEARC '18 Paper Acceptance Rate 79 of 123 submissions, 64%;
Overall Acceptance Rate 133 of 202 submissions, 66%

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