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Freshmen Program Withdrawal: Types and Recommendations

University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in t...

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Autores principales: Bernardo, Ana, Cervero, Antonio, Esteban, María, Tuero, Ellian, Casanova, Joana R., Almeida, Leandro S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613773/
https://www.ncbi.nlm.nih.gov/pubmed/28983263
http://dx.doi.org/10.3389/fpsyg.2017.01544
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author Bernardo, Ana
Cervero, Antonio
Esteban, María
Tuero, Ellian
Casanova, Joana R.
Almeida, Leandro S.
author_facet Bernardo, Ana
Cervero, Antonio
Esteban, María
Tuero, Ellian
Casanova, Joana R.
Almeida, Leandro S.
author_sort Bernardo, Ana
collection PubMed
description University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in the future. However, most research papers currently focus primarily on the characteristics of students who leave university, rather than on those who choose to pursue alternative courses of study and therefore fail to take into account the different kinds of abandonment. The aim of this paper is to identify the different types of dropout to define their characteristics and propose some recommendations. Thus, an ex post facto study was carried out on a sample of 1,311 freshmen from a university in the north of Spain using data gathered using an ad-hoc designed questionnaire, applied by telephone or an online survey, and completed with data available in the university data warehouse. A descriptive analysis was performed to characterize the sample and identify five different groups, including 1. Students persisting in their initiated degree 2. Students who change of program (within the same university) 3. Students transferring to a different university 4. Students enrolling in non-higher-education studies 5. Students that quit studying. Also, data mining techniques (decision trees) were applied to classify the cases and generate predictive models to aid in the design of differentiated intervention strategies for each of the corresponding groups.
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spelling pubmed-56137732017-10-05 Freshmen Program Withdrawal: Types and Recommendations Bernardo, Ana Cervero, Antonio Esteban, María Tuero, Ellian Casanova, Joana R. Almeida, Leandro S. Front Psychol Psychology University program dropout is a problem that has important consequences not only for the student that leaves but also for the institution in which the withdrawal occurs. Therefore, higher education institutions must study the problem in greater depth to establish appropriate prevention measures in the future. However, most research papers currently focus primarily on the characteristics of students who leave university, rather than on those who choose to pursue alternative courses of study and therefore fail to take into account the different kinds of abandonment. The aim of this paper is to identify the different types of dropout to define their characteristics and propose some recommendations. Thus, an ex post facto study was carried out on a sample of 1,311 freshmen from a university in the north of Spain using data gathered using an ad-hoc designed questionnaire, applied by telephone or an online survey, and completed with data available in the university data warehouse. A descriptive analysis was performed to characterize the sample and identify five different groups, including 1. Students persisting in their initiated degree 2. Students who change of program (within the same university) 3. Students transferring to a different university 4. Students enrolling in non-higher-education studies 5. Students that quit studying. Also, data mining techniques (decision trees) were applied to classify the cases and generate predictive models to aid in the design of differentiated intervention strategies for each of the corresponding groups. Frontiers Media S.A. 2017-09-21 /pmc/articles/PMC5613773/ /pubmed/28983263 http://dx.doi.org/10.3389/fpsyg.2017.01544 Text en Copyright © 2017 Bernardo, Cervero, Esteban, Tuero, Casanova and Almeida. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Bernardo, Ana
Cervero, Antonio
Esteban, María
Tuero, Ellian
Casanova, Joana R.
Almeida, Leandro S.
Freshmen Program Withdrawal: Types and Recommendations
title Freshmen Program Withdrawal: Types and Recommendations
title_full Freshmen Program Withdrawal: Types and Recommendations
title_fullStr Freshmen Program Withdrawal: Types and Recommendations
title_full_unstemmed Freshmen Program Withdrawal: Types and Recommendations
title_short Freshmen Program Withdrawal: Types and Recommendations
title_sort freshmen program withdrawal: types and recommendations
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613773/
https://www.ncbi.nlm.nih.gov/pubmed/28983263
http://dx.doi.org/10.3389/fpsyg.2017.01544
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