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Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program Cover

Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program

European Journal of Open, Distance and E-Learning
Volume 17 (2014): Issue 1 (July 2014)
By: Erman Yukselturk,  Serhat Ozekes and  Yalın Kılıç Türel  
Open Access
|Dec 2014

Authors

Erman Yukselturk

eyukselturk@gmail.com

Serhat Ozekes

serhat.ozekes@uskudar.edu.tr

Yalın Kılıç Türel

yturel@gmail.com

DOI: https://doi.org/10.2478/eurodl-2014-0008 | Journal eISSN: 1027-5207
Journal RSS Feed
Language: English
Page range: 118 - 133
Published on: Dec 11, 2014
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Educational data mining,
student dropout prediction,
k-nearest neighbour,
decision tree,
Naive Bayes,
neural network
Related subjects:
Social sciences,
Education,
Curriculum and pedagogy,
Education, other

© 2014 Erman Yukselturk, Serhat Ozekes, Yalın Kılıç Türel, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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