Success Prediction System for Student Counseling using Data Mining

Jörg Frochte, Irina Bernst

2016

Abstract

A framework how to use data mining of central exam data for the prediction of student success in bachelor degree courses is presented. For the prediction a supervised learning approach is used based on successful and unsuccessful student biographies. We develop a traffic light rating system and present results for two different kinds of bachelor degree courses; one in economics and one in engineering. We discuss applications for students and student counseling institutions as well as the limitations dealing with information privacy aspects, especially under the conditions regarding data mining in Germany.

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Paper Citation


in Harvard Style

Frochte J. and Bernst I. (2016). Success Prediction System for Student Counseling using Data Mining . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 181-188. DOI: 10.5220/0006036401810188


in Bibtex Style

@conference{kdir16,
author={Jörg Frochte and Irina Bernst},
title={Success Prediction System for Student Counseling using Data Mining},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006036401810188},
isbn={978-989-758-203-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Success Prediction System for Student Counseling using Data Mining
SN - 978-989-758-203-5
AU - Frochte J.
AU - Bernst I.
PY - 2016
SP - 181
EP - 188
DO - 10.5220/0006036401810188