• DocumentCode
    2082272
  • Title

    Learning Math and Statistics on the Cloud, Towards an EC2-Based Google Docs-like Portal for Teaching / Learning Collaboratively with R and Scilab

  • Author

    Chine, Karim

  • Author_Institution
    Cloud Era Ltd., Cambridge, UK
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    752
  • Lastpage
    753
  • Abstract
    The Elastic-R portal allows educators and students to easily allocate, use and manage cloud resources and to work on the cloud, from standard web browsers, with the most commonly used statistical and mathematical environments such as R and Scilab. Elastic-R enables collaboration and resources sharing as well as interactive local or remote teaching sessions. Elastic-R is also a platform and provides frameworks and tools that make it easy for educators to create their own cloud-based e-Learning tools.
  • Keywords
    Internet; computer aided instruction; online front-ends; portals; statistics; Scilab; cloud based e-learning tool; cloud resource; elastic-R portal; interactive local teaching session; interactive remote teaching session; math learning; resources sharing; statistics learning; web browser; Clouds; Collaboration; Electronic learning; Machine learning; Portals; Virtual machining; Cloud computing; R; Scilab; Virtual Learning Envronments; Virtual Research Environments; remote teaching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4244-7144-7
  • Type

    conf

  • DOI
    10.1109/ICALT.2010.120
  • Filename
    5572466