• DocumentCode
    2872020
  • Title

    System- and Information-Related Success Drivers of Virtual Learning Environments

  • Author

    Mueller, Daniel ; Heintz, Melanie ; Strohmeier, Stefan

  • Author_Institution
    IMC, Saarbrucken, Germany
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    482
  • Lastpage
    483
  • Abstract
    Virtual learning environments (VLE) constitute a current information systems (IS) category for electronically supported corporate training and development. Frequently expected advantages of using VLE refer, for instance, to the efficiency, individuality, ubiquity, timeliness and learning task orientation. A crucial precondition of realising such advantages is an appropriate system design. Hence, the question which specific system- and information-related design characteristics (DC) actually characterise successful VLE is of particular interest for training and development practice. The current paper aims at providing latest insights into a rigorous and relevant model for assessing the impact of particular system- and information-related DC relevant to VLE success. Thereby, researchers and practitioners will be enabled to better understand particular system- and information-related success drivers of VLE. Besides, they can continuously evaluate and improve VLE and have a means for management interventions, task prioritisations as well as effective and efficient resource allocations.
  • Keywords
    computer aided instruction; management information systems; resource allocation; training; virtual reality; VLE; corporate training; electronic information systems; information related design; information-related success drivers; resource allocations; specific system design; virtual learning environments; Analytical models; Atmospheric measurements; Helium; Information systems; Mathematical model; Resource management; Training; Design Characteristic; IS Success Model; Success Driver; Virtual Learning Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
  • Conference_Location
    Athens, GA
  • ISSN
    2161-3761
  • Print_ISBN
    978-1-61284-209-7
  • Electronic_ISBN
    2161-3761
  • Type

    conf

  • DOI
    10.1109/ICALT.2011.150
  • Filename
    5992402