Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs

Ricardo Timarán Pereira, Andrés Calderón Romero, Javier Jiménez Toledo

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: KDIR, (IC3K 2013) ISBN 978-989-8565-75-4, pages 136-142. DOI: 10.5220/0004543001360142

in Bibtex Style

@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 - Volume 1: KDIR, (IC3K 2013)},
year={2013},
pages={136-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004543001360142},
isbn={978-989-8565-75-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing - Volume 1: KDIR, (IC3K 2013)
TI - Extraction Student Dropout Patterns with Data Mining Techniques in Undergraduate Programs
SN - 978-989-8565-75-4
AU - Timarán Pereira R.
AU - Calderón Romero A.
AU - Jiménez Toledo J.
PY - 2013
SP - 136
EP - 142
DO - 10.5220/0004543001360142