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Authors: Jörg Frochte and Irina Bernst

Affiliation: Bochum University of Applied Sciences, Germany

Keyword(s): Data Mining, Classification, Supervised Learning, Information Privacy, Tertiary Education.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 181-188. DOI: 10.5220/0006036401810188

@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 (IC3K 2016) - KDIR},
year={2016},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006036401810188},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - Success Prediction System for Student Counseling using Data Mining
SN - 978-989-758-203-5
IS - 2184-3228
AU - Frochte, J.
AU - Bernst, I.
PY - 2016
SP - 181
EP - 188
DO - 10.5220/0006036401810188
PB - SciTePress