• DocumentCode
    3175019
  • Title

    Adaptive online learning environment and web usage mining

  • Author

    Toth, Peter

  • Author_Institution
    Trefort Agoston Centre for Eng. Educ., Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    61
  • Lastpage
    66
  • Abstract
    The realization of an adaptive online learning environment presupposes the full consideration of the existing knowledge of the individual and their learning characteristics both in the area of course as well as learning management. Therefore during the learning process diagnostic and formative control, evaluation and assessment, with web usage mining as an efficient means, has a special significance. Educational technology and multimedia, a course in technical teacher training, formed the basis of the study. By the application of web mining methods we were trying to find an answer to the question whether any conclusions from the patterns of online learning activities were to be drawn as to preferred learning characteristics, methods and strategies and also whether the major variables of online learning behavior were possible to define.
  • Keywords
    Internet; computer aided instruction; data mining; distance learning; educational courses; multimedia systems; Web usage mining; adaptive online learning; educational technology; formative control; learning management; learning process diagnostic; multimedia; technical teacher training; Animation; Digital images; Educational technology; Inspection; Multimedia communication; Web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4673-6397-6
  • Type

    conf

  • DOI
    10.1109/SACI.2013.6608939
  • Filename
    6608939