IMPROVING COURSE SUCCESS PREDICTION USING ABET COURSE OUTCOMES AND GRADES

Muzaffer Ege Alper, Zehra Çataltepe

2012

Abstract

Modeling and prediction of student success is a critical task in education. In this paper, we employ machine learning methods to predict course grade performance of Computer Engineering students. As features, in addition to the conventional course grades we use fine grained student performance measurements corresponding to different goals (ABET outcomes) of a course. We observe that, compared to using only previous course grades, addition of outcome grades can significantly improve the prediction results. Using the trained model enables interpretation of how different courses affect performance on a specific course in the future. We think that even more detailed and systematically produced course outcome measurements can be beneficial in modeling students university performance.

Paper Citation

in Harvard Style

Alper M. and Çataltepe Z. (2012). IMPROVING COURSE SUCCESS PREDICTION USING ABET COURSE OUTCOMES AND GRADES . In Proceedings of the 4th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-8565-07-5, pages 222-229. DOI: 10.5220/0003922602220229

in Bibtex Style

@conference{csedu12,
author={Muzaffer Ege Alper and Zehra Çataltepe},
title={IMPROVING COURSE SUCCESS PREDICTION USING ABET COURSE OUTCOMES AND GRADES},
booktitle={Proceedings of the 4th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2012},
pages={222-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003922602220229},
isbn={978-989-8565-07-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - IMPROVING COURSE SUCCESS PREDICTION USING ABET COURSE OUTCOMES AND GRADES
SN - 978-989-8565-07-5
AU - Alper M.
AU - Çataltepe Z.
PY - 2012
SP - 222
EP - 229
DO - 10.5220/0003922602220229