Web Mining as a Tool for Understanding Online Learning
Jiye Ai, James M. Laffey · 2007
After an introduction to Web mining and elearning and a brief review of Web mining applications in business and education, this paper presents an experiment with pattern classification for student performance prediction in a WebCT learning environment. The results illustrate that recognition for a certain class (with good grades) on a large data set can be obtained by a classifier built from a small size data set. The paper concludes that Web mining can be an approach to build knowledge about Elearning and has potential to help improve learning performance.