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The QuarkNet/grid collaborative learning e-Lab

delete2006-05-01
delete8
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OA
AI
M
Marjorie Bardeen *
É
Éric Gilbert
T
T. H. Jordan
P
Paul Nepywoda
E
Elizabeth Quigg
赵永 (Yong Zhao)
DOI:10.1016/j.future.2006.03.001delete
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Abstract

Abstract

En 中文
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 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 modem large-scale scientific collaborations. Also, the e-Lab provides tools for teachers to guide student work throughout an investigation. http://quarknet.uchicago.edu/elab/cosmic (c) 2006 Published by Elsevier B.V.
Keywords:
collaborative learning
collaborative computing
distance learning
education
human factors
hypertext/hypermedia
information systems education
distributed systems
online computation
physics
web-based interaction
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Journal

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
Papers:
6.8K
Citations:
2.3W

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