Abstract
Abstract-Nowadays, the Open and Distance Learning is a widely using technology for dissemination of information to the distant learners. This emerging mode of distance learning is based on e-learning which is a modern way of education through the use of Internet and world wide web. The design and structure of e-learning website plays a pivotal role in reducing the geographical distance among teachers and students. However, creating interactive and user-friendly website requires the information about the usage of website by the potential users. Web usage mining and analysis is a way to find the interesting pattern of web usage. This paper presents web usage analysis of the distant learners while browsing the contents on e-learning website of Allama Iqbal Open University, Pakistan. The web usage log file is collected from the ubuntu web server and is preprocessed for the pattern generation. The open source log file analyzed WebLog Expert 9.4 has been used for the web usage mining. The analysis explores some interesting patterns of e-learners in terms of number of visitors, number of hits, bandwidth usage and errors generation. The result shows that the transformation of distance learning programs into e-learning has been successful and students are actively using the e-learning website.
Keyword(s)
E-Learning, Web Usage Mining, Distance Learning, ODL, Log File, WebLog Tool, Online Learning Analysis