• DocumentCode
    2826716
  • Title

    Data Analysis as a Tool for Optimizing Learning Management Systems

  • Author

    Clari, Paloma Moreno ; Arevalillo-Herráez, Miguel ; Lleó, Vicente Cerverón

  • Author_Institution
    Comput. Dept., Univ. of Valencia, Valencia, Spain
  • fYear
    2009
  • fDate
    15-17 July 2009
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    The advent of the Internet has opened a scope for research in new methods and tools that may facilitate the teaching and learning processes. This has, in turn, led to the development of learning platforms to support teaching and learning activities. The market penetration of these has been such that nowadays most universities provide their academic community with some form of a learning management system (LMS). Although a lot of effort has been put into deploying these platforms, the usage statistics that they generally provide are not generally processed to optimize their use within a specific context or institution (or confronted with quality or innovation indexes to produce useful feedback information). In this paper we propose a methodology for data analysis and apply it to the particular case of the University of Valencia(Spain). Besides, we briefly describe a computer implementation that facilitates the application of this methodology to any other existing LMS which provides usage statistics.
  • Keywords
    Internet; computer aided instruction; data analysis; educational institutions; optimisation; statistical analysis; teaching; Internet; University of Valencia; data analysis; learning management system; optimization; statistical analysis; teaching; Application software; Data analysis; Education; Educational institutions; Educational programs; Feedback; Least squares approximation; Space technology; Statistics; Technological innovation; Evaluation metodology; ICT; Learning Management Systems; Usage statistics; education quality; innovation in education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
  • Conference_Location
    Riga
  • Print_ISBN
    978-0-7695-3711-5
  • Electronic_ISBN
    978-0-7695-3711-5
  • Type

    conf

  • DOI
    10.1109/ICALT.2009.11
  • Filename
    5194214