Enhancing Online Learning Performance: An Application of Data Mining Methods

@inproceedings{MinaeiBidgoli2004EnhancingOL,
  title={Enhancing Online Learning Performance: An Application of Data Mining Methods},
  author={Behrouz Minaei-Bidgoli and Gerd Kortemeyer and William F. Punch},
  booktitle={CATE},
  year={2004}
}
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations based on students’ features and the actions taken by students in solving homework and exam problems. The main purpose of data mining is to discover the hidden relationships among the data points within given data sets. Classification has emerged as an popular data mining task to find a model for grouping the data… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 18 references

Concept Feedback In ComputerAssisted Assignments

  • G. Albertelli, B. Minaei-Bigdoli, W. F. Punch, G. Kortemeyer, E. Kashy
  • Proceedings of the Frontiers in Education…
  • 2002
1 Excerpt

A survey of genetic feature selection in mining issues

  • M. J. Martin-Bautista, M. A. Vila
  • Proceeding Congress on Evolutionary Computation…
  • 1999
1 Excerpt

Similar Papers

Loading similar papers…