Proceedings of the 2013 International Conference on Advanced ICT and Education

Data Mining Approach for Making Prediction of Students Success

Authors
Edin Osmanbegovi, Haris Agi, Mirza Suljic
Corresponding Author
Edin Osmanbegovi
Available Online August 2013.
DOI
https://doi.org/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.
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Proceedings
2013 International Conference on Advanced ICT and Education (ICAICTE-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-79-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaicte.2013.145How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2013 International Conference on Advanced ICT and Education (ICAICTE-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaicte.2013.145
DO  - https://doi.org/10.2991/icaicte.2013.145
ID  - Osmanbegovi2013/08
ER  -