Romero, C. & Ventura, S. (2007),
'Educational data mining: A survey from 1995 to 2005', Expert Syst. Appl.
33
(1)
, 135--146
.
[Volltext]
[Kurzfassung]
[BibTeX]
[Endnote]
Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing research community. This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. Each of these systems has different data source and objectives for knowledge discovering. After preprocessing the available data in each case, data mining techniques can be applied: statistics and visualization; clustering, classification and outlier detection; association rule mining and pattern mining; and text mining. The success of the plentiful work needs much more specialized work in order for educational data mining to become a mature area.