Multi-criteria model for propensity to stay on higher education

Authors

DOI:

https://doi.org/10.26507/rei.v11n22.652

Keywords:

AHP, analysis hierarchy process, factor for accreditation, factors related to dropout, general classification, quality of education, student retention

Abstract

Student retention in higher education institutions is a challenge that transcends universities and public policies of Ministries of Education. The complexity of the phenomenon of student dropout as complementary to student retention requires several modeling techniques. The aim of this paper is to show the analytic hierarchical process (AHP) as multi-criteria model with the goal of prioritizing students according to the propensity to stay in higher education, considering as criteria the determinant factors related to dropout formulated by the Ministry of National Education of Colombia. A case study was used to illustrate the process and the consistency test for pairwise comparison matrices and criteria. Subsequently, students were ranked in propensity to stay in each factor according to vectors of priority, also determinant factors were ordered depending on their subjective importance and a general classification of students according to propensity to stay on all determinant factors was obtained.

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Author Biography

Sandra Patricia Barragán Moreno, Universidad de Bogotá Jorge Tadeo Lozano

Sandra Patricia Barragán M, Magister en Ciencias Matemáticas de la Universidad Nacional de Colombia - sede Bogotá. Actualmente vinculada como Profesora Asociada II de la Universidad de Bogotá Jorge Tadeo Lozano. Dirección postal: Calle 22 No. 3-30 Módulo 15 Oficina 201 Bogotá - Colombia. Correo electrónico: sandra.barragan@utadeo.edu.co. Teléfono: 057 2427030 Extensión: 1701

References

Anderson, D., Sweeny, D., & Williams, T. (1998). Métodos cuantitativos para los negocios (Séptima ed.). México: International Thomson Editores.

Chen-Feng, W., Chun-Ta, L., & Pei-Min, W. (2012). Recuperado el 24 de Noviembre de 2015, de Evaluation assessment tools for high-care student groups in vocational high schools: http://onlinepresent.org/proceedings/vol5_2012/15.pdf

Chen-Feng, W., Chun-Ta, L., & Pei-Min, W. (2013). Applying multicriteria method to the decision of assesment tools for high-care studentes groups. International Journal of Hybrid Information Techonology, 6(3), 1-13.

Li, J., Xie, J., Liu, J., & Wang, H. (2010). Recuperado el 24 de Noviembre de 2015, de The application of analityc hierarchy process in higher education tuition model: http://58.205.208.126/meeting/UploadPapers/1281516397828.pdf

Mendoza, D. (2013). Aplicación de la teoría de decisión multicriterio discreta para ponderar factores en procesos de acreditación de alta calidad. INGE CUC, 9(1), 25-41.

Ministerio de Educación Nacional. (2009). Deserción estudiantil en la educación superior colombiana. Metodología de seguimiento, diagnóstico y elementos para su prevención. Bogotá: Imprenta Nacional de Colombia.

Munier, N. (2011). A strategy for using multicriteria analysis in decision-making. A guide for simple and complex environmental projects. New York: Springer.

Proyecto ALFA GUIA DCI-ALA/2010/94. (Noviembre de 2013). Marco conceptual sobre el abandono. Recuperado el 14 de Mayo de 2014, de Sintesis del marco conceptual: http://www.alfaguia.org/www-alfa/images/resultados/S%C3%ADntesis-del-Marco-Conceptual.pdf

Ramírez, D. M., Gartner, M. L., Bernal, J. E., Zapata, Á., Vallejo, F. A., Prieto, P. A., & Langebaek, C. H. (Enero de 2013). Consejo Nacional de Acreditación - CNA. Recuperado el 14 de Octubre de 2013, de Lineamientos para la acreditación de programas de pregrado: http://www.cna.gov.co/1741/articles-186359_pregrado_2013.pdf

Ruiz-Tagle, J. (2011). Algoritmos de cálculo de vectores a prioridad a partir de matrices de comparación por pares imprecisos. Tesis doctoral. Madrid, España: Universidad Politécnica de Madrid.

Published

2016-08-01

How to Cite

Barragán Moreno, S. P. (2016). Multi-criteria model for propensity to stay on higher education. Revista Educación En Ingeniería, 11(22), 52–56. https://doi.org/10.26507/rei.v11n22.652

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