DocumentCode :
446470
Title :
The QuarkNet/grid collaborative learning e-Lab
Author :
Bardeen, Marjorie ; Gilbert, Eric ; Jordan, Thomas ; Nepywoda, Paul ; Quigg, Elizabeth ; Wilde, Mike ; Zhao, Yong
Volume :
1
fYear :
2005
fDate :
9-12 May 2005
Firstpage :
27
Abstract :
We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload science data to our e-Lab portal They explore those data using techniques from the GriPhyN collaboration. These techniques include virtual data transformations, workflows, metadata cataloging and indexing, data product provenance and persistence, as well as job planners. Students use Web browsers and a custom interface that extends the GriPhyN Chiron portal to perform all of these tasks. They share results in the form of online posters and ask each other questions in this asynchronous environment. Students can discover and extend the research of other students, modeling the processes of modern large-scale scientific collaborations. Also, the e-Lab portal (http://quarknet.uchicago.edu/elab/cosmic) provides tools for teachers to guide student work throughout an investigation.
Keywords :
astronomy computing; cataloguing; computer aided instruction; cosmic rays; grid computing; groupware; indexing; meta data; online front-ends; portals; student experiments; workflow management software; GriPhyN Chiron portal; GriPhyN collaboration; QuarkNet; Web browsers; collaborative learning; cosmic rays; custom interface; data product persistence; data product provenance; e-Lab portal; grid computing; indexing; large-scale scientific collaborations; metadata cataloging; virtual data transformations; workflows; Collaboration; Collaborative work; Computer networks; Cosmic rays; Data analysis; Detectors; Earth; Educational institutions; Grid computing; Portals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International Symposium on
Print_ISBN :
0-7803-9074-1
Type :
conf
DOI :
10.1109/CCGRID.2005.1558530
Filename :
1558530
Link To Document :
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