The QuarkNet/grid collaborative learning e-lab

Authors:
Marjorie Bardeen;Eric Gilbert;Thomas Jordan;Paul Nepywoda;Elizabeth Quigg;Mike Wilde;Yong Zhao
Affiliations:
Fermi National Accelerator Laboratory, LSS/Education Office, Batavia, IL;Fermi National Accelerator Laboratory, LSS/Education Office, Batavia, IL;Fermi National Accelerator Laboratory, LSS/Education Office, Batavia, IL;Fermi National Accelerator Laboratory, LSS/Education Office, Batavia, IL;Fermi National Accelerator Laboratory, LSS/Education Office, Batavia, IL;Argonne National Laboratory, MCS, Argonne, IL;University of Chicago, Computation Institute, Chicago, IL
Venue:
Future Generation Computer Systems - Collaborative and learning applications of grid technology
Year:
2006

Citing 2
Cited 0

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Abstract

This paper describes 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 an e-Lab website. 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 for execution locally and on the grid. Students use web browsers and a custom interface that extends the GriPhyN Chiton 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 provides tools for teachers to guide student work throughout an investigation.