• DocumentCode
    1954359
  • Title

    The data visualization technique in e-learning system

  • Author

    Brtka, Eleonora ; Brtka, Vladimir ; Ognjenovic, Visnja ; Berkovic, Ivana

  • Author_Institution
    Tech. Fac. “Mihajlo Pupin”, Univ. of Novi Sad, Zrenjanin, Serbia
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    489
  • Lastpage
    492
  • Abstract
    Data mining techniques and their applications are widely recognized as powerful tools in various domains. Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. In the domain of education, there are varieties of data of different types collected during the educational process. The main question is: Is it possible to process the collected data with the data mining system and what are main advantages of data mining and e-learning interaction? In this paper, we present an insight into the possible interaction between course management system and data mining techniques. The main goal of this work is to investigate some data mining techniques in order to deliver most appropriate learning object to the learner. In this paper, visualization as a data mining technique is investigated. For this purpose, free data mining tool Weka was used.
  • Keywords
    computer aided instruction; data mining; data visualisation; educational courses; course management system; data visualization technique; e-learning interaction; e-learning system; educational data mining techniques; educational process; free data mining tool Weka; learning object; Computers; Data mining; Data visualization; Databases; Educational institutions; Electronic learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Informatics (SISY), 2012 IEEE 10th Jubilee International Symposium on
  • Conference_Location
    Subotica
  • Print_ISBN
    978-1-4673-4751-8
  • Electronic_ISBN
    978-1-4673-4749-5
  • Type

    conf

  • DOI
    10.1109/SISY.2012.6339570
  • Filename
    6339570