Data Mining Approach for Making Prediction of Students Success

DOI

10.2991/icaicte.2013.145How to use a DOI?

Keywords

data mining, classification, secondary school education,

Abstract

Although data mining represents the computational method of data processing, its use in education is still relatively new, i.e. its use is intended for discovering implicit, previously unknown, and useful knowledge out of existing data with an aim to make quality decisions in function of improvement of education system. The study was conducted by surveying the population of high school students in Tuzla Canton, Bosnia and Herzegovina (sample included about 10% of the student population, i.e. 1645 student). Using four different data mining algorithms the aim was to develop a model which can derive the conclusion of secondary level students' success.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Edin Osmanbegovi
AU  - Haris Agi
AU  - Mirza Suljic
PY  - 2013/08
DA  - 2013/08
TI  - Data Mining Approach for Making Prediction of Students Success
BT  - Proceedings of the 2013 International Conference on Advanced ICT and Education
PB  - Atlantis Press
SP  - 705
EP  - 709
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.145
DO  - 10.2991/icaicte.2013.145
ID  - Osmanbegovi2013/08
ER  -