Improving university e-Learning with exploratory data analysis and web log mining
Abstract
The success of an e-Learning system depends on several factors: a supportive infrastructure, high-quality content, effective format, and high availability to satisfy ongoing user needs. In this paper, we perform exploratory data analysis and data mining on an e-Learning web log, which spans one academic year. The study uncovers the e-Learning users' usage behavior in accessing the content. The study discovers e-Learning media popularity and usage patterns, and helps the institution fine tune future courseware, from strategic changes to the fine-grain of lesson content improvement.
Authors: Chakarida Nukoolkit, Praewphan Chansripiboon, Satita Sopitsirikul
Published in: International Conference on Computer Science & Education (ICCSE) (2011)