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

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

Zeki Özen (Department of Informatics, Istanbul University, Istanbul, Turkey), Fatma Önay Koçoğlu Bakioğlu (Department of Informatics, Istanbul University, Istanbul, Turkey) and Şamil Beden (Enocta, Istanbul, Turkey)
Copyright: © 2014 |Pages: 15
DOI: 10.4018/ijea.2014070103

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.
Article Preview

2. Literature Review

LMS is known as Virtual Learning Environments (VLE) and has an important role in distance education (Aydin & Tirkes, 2010). LMS is a software which can be fulfilled a lot of activities such as adjusting sharing, arguing, lesson registration, having exam, student teacher and system enrollment (Berking & Gallagher, 2013). This software is simply addressed platforms providing education activities to be able to do on a web. As stated before, even if LMS is a technology which has occurred in the process of electronic education, a lot of institutions in the world use LMS to improve and support education activities (Dalsgaard, 2006). Also LMS can be used by enterprises to monitor the effectiveness of their education and training for the employees (Clement-Okooboh, 2012).

A lot of high-education institutions have improve a lot of different LMS by basing their experiences. Increasing LMS usage and variety arise the question how the usage evaluation belongs to these systems is (Abazi-Bexheti, Kadriu, & Ahmedi, 2010). In this context, commenting logs efficiently by keeping the records might provide to have important information in the issue of how LMS can be used in the education and teaching (Lam, Lo, Lee, & McNaught, 2011).

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 11: 2 Issues (2019): Forthcoming, Available for Pre-Order
Volume 10: 2 Issues (2018): 1 Released, 1 Forthcoming
Volume 9: 2 Issues (2017)
Volume 8: 2 Issues (2016)
Volume 7: 2 Issues (2015)
Volume 6: 2 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing