• 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