Educational data mining: A survey from 1995 to 2005

  • Authors:
  • C. Romero;S. Ventura

  • Affiliations:
  • Department of Computer Sciences, University of Cordoba, Cordoba, Spain;Department of Computer Sciences, University of Cordoba, Cordoba, Spain

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2007

Quantified Score

Hi-index 12.07

Visualization

Abstract

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.