Educación superior virtual en Colombia: factores asociados al abandono

Nuria Segovia-García; Elías  Said-Hung; Francisco José García Aguilera

doi:10.5944/educxx1.30455

Authors

Nuria Segovia-García Corporación Universitaria de Asturias http://orcid.org/0000-0003-4329-0987
Elías Said-Hung Universidad Internacional de la Rioja http://orcid.org/0000-0002-0594-5906
Francisco José García Aguilera Universidad Internacional de la Rioja http://orcid.org/0000-0002-5764-7409

DOI:

https://doi.org/10.5944/educxx1.30455

Keywords:

online learning, higher education, Colombia, dropping out, student satisfaction, regression analysis

Abstract

Colombia has experienced a strong demand from students from a wide variety of geographical locations and socioeconomic backgrounds who want access to higher education. To ensure the reception of all students, strategies have been developed to increase the supply of education and facilitate access through innovative modalities such as virtual or distance learning. However, despite these improvements in the coverage of the educational system, high university dropout rate is a challenge for Colombia. This research focuses on analyzing the dropout factors in distance learning universities. For this purpose, a survey has been designed that collects, through 62 items, demographic, socio-economic, academic, technological infrastructure and satisfaction information. The sample consisted of 384 students with the intention of dropping out of any of 403 undergraduate programs in virtual modality, with active qualified registration as of June 2019, according to the SNIES. A quantitative research based on the logistic regression method was conducted and the results indicate how among other variables, student satisfaction with their university is associated with quality differences of offered services and academic content that are factors associated with student retention. The results allow to conclude that universities have a crucial role in order to guarantee continuation in education for all students, obliged to provide quality and equitable educational response with special attention to the most vulnerable population.

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References

Al-Azawei, A., Parslow, P., & Lundqvist, K. (2017). The effect of Universal Design for Learning (UDL) Application on e-learning acceptance: A structural equation model. International Review of Research in Open and Distributed Learning, 18(8), 54–87. https://doi.org/10.19173/irrodl.v18i6.2880

Aldholay, A., Isaac, O., Abdullah, Z., Abdulsalam, R., & Al-Shibami, A. H. (2018). An extension of Delone and McLean IS success model with self-efficacy. The International Journal of Information and Learning Technology, 35(4), 285-304. https://doi.org/10.1108/ijilt-11-2017-0116

Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Arias-Velandia, N., Rincón-Báez, W. U. & Cruz-Pulido, J. M. (2018). Desempeño de mujeres y hombres en educación superior presencial, virtual y a distancia en Colombia. Panorama, 12(22), 57-69. https://doi.org/10.15765/pnrm.v12i22.1142

Benavides, M., Arellano, A., & Zárate, J. S. (2018). Market- and government-based higher education reforms in Latin America: the cases of Peru and Ecuador, 2008–2016. Higher Education, 77(6), 1015–1030. https://doi.org/10.1007/s10734-018-0317-3

Bonilla, L., Bottan, N. L., & Ham, A. (2015). The role of information on students’ career choice and school effort experimental evidence from Bogotá, Colombia. SSRN Electronic Journal, 1-40. https://doi.org/10.2139/ssrn.2546835

Cabrera, L., Bethencourt, J. T., Pérez, P. & González, M. (2006). El problema del abandono de los estudios universitarios. Relieve, 12(2), 171-203. https://doi.org/10.7203/relieve.12.2.4226 https://n9.cl/8yyt

CAF (2020). Las oportunidades de la digitalización en América Latina frente al Covid-19.

Comisión Económica para América Latina y el Caribe (CEPAL) (2016). Estado de la banda ancha en América Latina y el Caribe 2016. http://bit.ly/38Geihx

Correa, J., Iral, R. & Rojas, L. (2006). Estudio de potencia de pruebas de homogeneidad de varianza. Revista colombiana de estadística, 29(1), 57-76. https://cutt.ly/RbPuS3P

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi-org.ezproxy.uned.es/10.1037/1082-989X.4.3.272.

Fernández, J. (2016). Alumnado inmigrante en la eso: vulnerabilidad pedagógica del sistema educativo. Educación XX1, 20(1), 121-140. https://doi.org/10.5944/educxx1.17494

Fernández, N. R. & Pérez, C. G. (2016). La educación superior latinoamericana en el inicio del nuevo siglo. Situación, principales problemas y perspectivas futuras. Revista Española de Educación Comparada, (27), 123-148. https://doi.org/10.5944/reec.27.2016.15044

Gamboa, L. F. & Rodriguez-Lesmes, P. A. (2014). Do Colombian students underestimate higher education returns? Universidad del Rosario, Facultad de Economía. https://n9.cl/hv91s

Mejía, L. F. (2020). COVID-19: costos económicos en salud y en medidas de contención para Colombia. Fedesarrollo. https://bit.ly/31NTzGJ

Melguizo, T., Sanchez, F., & Velasco, T. (2016). Credit for Low-Income Students and Access to and Academic Performance in Higher Education in Colombia: A Regression Discontinuity Approach. World Development, 80, 61-77. https://doi.org/10.1016/j.worlddev.2015.11.018

Ministerio de Educación Nacional (2010). Plan sectorial 2010-2014. https://cutt.ly/wy1VdAZ

Ministerio de Educación Nacional (2021). Plan Estratégico Institucional 2019-2022. https://cutt.ly/TzPULo0

Munizaga, F. R., Cifuentes, M. B., & Beltrán, A. J. (2018). Retención y abandono estudiantil en la educación superior universitaria en América Latina y el Caribe: una revisión sistemática. education policy analysis archives, 26(61), 1-35. https://doi.org/10.14507/epaa.26.3348

Mustafá, S., Kar, A., & Janssen, M. (2020). Understanding the impact of digital service failure on users: Integrating Tan’s failure and DeLone and McLean’s success model. International Journal of Information Management, 53, 102119. https://doi.org/10.1016/j.ijinfomgt.2020.102119

Organización para la Cooperación y el Desarrollo Económico (2019). Trends Shaping Education 2019. https://doi.org/10.1787/trends_edu-2019-en

Panaretos, D., Tzavelas, G., Vamvakari, M., & Panagiotakos, D. (2021). Investigating the repeatability of the extracted factors in relation to the type of rotation used, and the level of random error: A simulation study. Journal of Data Science, 18(2), 390–404. https://doi.org/10.6339/jds.202004_18(2).0010

Pérez, C. (2014). Técnicas estadísticas predictivas con IBM SPSS. Garceta.

Pérez, R. (2017). Estado de naturaleza, anomia y derecho. Una reflexión desde América Latina. Dikaiosyne, (32), 71–95. https://cutt.ly/Uy9QoMq

Programa de las Naciones Unidas para el Desarrollo (2020). El coronavirus en Colombia: vulnerabilidad y opciones de política. https://cutt.ly/AbPbySd

Salam, M. & Farooq, M.S. (2020). Does sociability quality of web-based collaborative learning information system influence students’ satisfaction and system usage? International Journal of Educational Technology in Higher Education, 17(1), 1-39. https://doi.org/10.1186/s41239-020-00189-z

Sánchez-Gelabert, A. & Elias, M. (2017). Los estudiantes universitarios no tradicionales y el abandono de los estudios. Estudios sobre Educación, 32, 27–48. https://doi.org/10.15581/004.32.27-48

Segovia-García, N., & Said-Hung, E.M. (2021). Factores de satisfacción de los alumnos en e-learning en Colombia. Revista Mexicana de Investigación Educativa, 26(89), 595-621.

Sistema Nacional de Información de la Educación Superior (2019). Número de inscripciones en programas de educación superior - Colombia 2018 [Conjunto de datos]. http://bit.ly/39EJcqu

Sistema Nacional de Información de la Educación Superior (s.f.). Consulta de Instituciones [Conjunto de datos]. https://n9.cl/tvdwi

Sistema para la Prevención y Análisis de la Deserción en las Instituciones de Educación Superior (s.f.). Deserción anual por programa y metodología [Conjunto de datos].

Tinto, V. (1987). Leaving College: Rethinking the Causes and Cures of Student Attrition. University Of Chicago Press.

Weller, J. (2017). Las transformaciones tecnológicas y su impacto en los mercados laborales. Naciones Unidas. https://n9.cl/ck2je