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The Examination of User Habits through the Google Analytic Data of Academic Education Platforms

Author

Listed:
  • Zeki Özen

    (Department of Informatics, Istanbul University, Istanbul, Turkey)

  • Fatma Önay Koçoğlu Bakioğlu

    (Department of Informatics, Istanbul University, Istanbul, Turkey)

  • Şamil Beden

    (Enocta, Istanbul, Turkey)

Abstract

A web-based Learning Management System (LMS) can have hundreds, or even thousands users, student, teacher, manager and normal user. The increase in the Web traffic of the LMS brings with it the problem of hardware and infrastructure capable to host this traffic, and therefore solutions suitable to developing technology are required. Due to this reason, it is very important for LMS developers and instructors to use web mining tools and/or using services such as Google Analytics ensuring the analysis and evaluation of user behaviors. In this study, the authors aim to analyse the Google Analytics data pertaining to 2011 year of the Enocta Akademik Eteacher, managu LMS (EAEP l user. The increase in the Web traffic of the LMS brings with it the problem of hardware and infrastructure capable to hostof LMS user data may be used while carrying out a detailed analysis of LMS and in the efforts to develop and improve LMS. The increase of student satisfaction and learning success may be ensured through making changes on LMS according to student behaviors.

Suggested Citation

  • Zeki Özen & Fatma Önay Koçoğlu Bakioğlu & Şamil Beden, 2014. "The Examination of User Habits through the Google Analytic Data of Academic Education Platforms," International Journal of E-Adoption (IJEA), IGI Global, vol. 6(2), pages 31-45, July.
    • Handle: RePEc:igg:jea000:v:6:y:2014:i:2:p:31-45
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