• DocumentCode
    525662
  • Title

    Business intelligence in e-learning: (case study on the Iran university of science and technology dataset)

  • Author

    Falakmasir, Mohammad Hassan ; Moaven, Shahrouz ; Abolhassani, Hassan ; Habibi, Jafar

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    473
  • Lastpage
    477
  • Abstract
    Nowadays, e-learning platforms are widely used by universities and other research-based and educational institutions. Despite lots of advantages these educational environments provide for organizations, yet there are many unresolved problems which cause instructors and training managers with some difficulties to get proper information about the students´ learning behavior. On one hand, lack of tools to measure, assess, and evaluate the performance of learners in educational activities has led the educators to fail to guarantee the success of learning process. On the other hand, strict structure of learning materials prevents students to acquire knowledge based on their learning style. Consequently, developing tools monitor and analyze the learner´s interaction with e-learning environment is necessary. Business intelligence (BI) and On Line Analytical Processing (OLAP) technologies can be used in order to monitor and analyze the learner´s behavior and performance in e-learning environments. They can also be used to evaluate the structure of the course content and its effectiveness in the learning process. This article investigates the use of business intelligence and OLAP tools in e-learning environments and presents a case study of how to apply these technologies in the database of an e-learning system. The study shows that students spend little time with course courseware and prefer to use collaborative activities, such as virtual classroom and forums instead of just viewing the learning material.
  • Keywords
    competitive intelligence; computer aided instruction; data mining; educational institutions; Iran University of Science And Technology; OLAP; collaborative activities; e-learning business intelligence; educational activities; educational environments; educational institutions; learning materials; online analytical processing; students learning behavior; virtual classroom; Bismuth; Condition monitoring; Courseware; Deductive databases; Educational activities; Educational institutions; Electronic learning; Environmental management; Management training; Performance analysis; Business Intelligence; Data Warehouse; E-Learning; Educational Data Mining; Intelligent Data Analysis; OLAP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-7324-3
  • Electronic_ISBN
    978-89-88678-22-0
  • Type

    conf

  • Filename
    5542876