Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs

Ricardo Timarán Pereira; Andrés Calderón Romero; Javier Jiménez Toledo

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Paper

Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs

Topics: Process Mining

In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 0IC3K, 136-142, 2013 , Vilamoura, Algarve, Portugal

Authors: Ricardo Timarán Pereira ¹ ; Andrés Calderón Romero ¹ and Javier Jiménez Toledo ²

Affiliations: ¹ Universidad De Nariño, Colombia ; ² Institución Universitaria CESMAG, Colombia

Keyword(s): Extraction Patterns, Student Dropout, Data Mining.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Process Mining ; Symbolic Systems

Abstract: The first results of the research project that aims to identify patterns of student dropout from socioeconomic, academic, disciplinary and institutional data of students from undergraduate programs at the University of Nariño from Pasto city (Colombia), using data mining techniques are presented. Built a data repository with the records of students who were admitted in the period from the first half of 2004 and the second semester of 2006. Three complete cohorts were analyzed with an observation period of six years until 2011. Socioeconomic and academic student dropout profiles were discovered using classification technique based on decision trees. The knowledge generated will support effective decision-making of university staff focused to develop policies and strategies related to student retention programs that are currently set.

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Paper citation in several formats:

Timarán Pereira, R.; Calderón Romero, A. and Jiménez Toledo, J. (2013). Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 136-142. DOI: 10.5220/0004543001360142

@conference{kdir13,
author={Ricardo {Timarán Pereira}. and Andrés {Calderón Romero}. and Javier {Jiménez Toledo}.},
title={Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR},
year={2013},
pages={136-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004543001360142},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR
TI - Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Timarán Pereira, R.
AU - Calderón Romero, A.
AU - Jiménez Toledo, J.
PY - 2013
SP - 136
EP - 142
DO - 10.5220/0004543001360142
PB - SciTePress