Abstract
Introduction: Understanding persistence and retention in higher education is essential, as it provides a basis for identifying opportunities to enhance institutional programs and for developing strategies that mitigate student dropout while promoting successful degree completion.
Objective: This study examines factors influencing academic persistence and retention among prospective English language teachers and their engagement with institutional support programs, aiming to identify gaps and strengthen student retention in higher education.
Methodology: A quantitative, survey design was employed. Four hundred forty-five students enrolled in the English language teaching program between semesters 2020-II to 2022-II. Complementary institutional data from the ADATAR system (Academic Data Analysis for Early Retention Alerts) were used to identify 118 students at low persistence risk. However, only 35 were selected for in-depth analysis, as they exhibited a persistent risk profile, with 60% categorized as low-persistence cases across five consecutive academic semesters (2020-II to 2022-II).
References
Aina, C., Baici, E., Casalone, G., & Pastore, F. (2022). The determinants of university dropout: A review of the socio-economic literature. Socio-Economic Planning Sciences, 79, 101102. https://doi.org/10.1016/j.seps.2021.101102
Acevedo Calamet, F. (2020). Explanatory factors for dropout from higher education in unfavourable socio-academic contexts. Revista Espanola de Pedagogia, 78(276), 253–270. https://doi.org/10.22550/REP78-2-2020-02
Álvarez Pérez (ULL-España), P. R., & López Aguilar (ULL- España), D. (2017). ESTUDIOS SOBRE DESERCIÓN ACADÉMICA Y MEDIDAS ORIENTADORAS DE PREVENCIÓN EN LA UNIVERSIDAD DE LA LAGUNA (ESPAÑA). PARADIGMA, 38(1), 48–71. https://doi.org/10.37618/PARADIGMA.1011-2251.2017.p48-71.id600
Babbie, E. (2010) The practice of social research. 12th Edition, Wadsworth, Belmont.
Bardach, L., Lüftenegger, M., Oczlon, S., Spiel, C. and Schober, B. (2020) ‘Context-related problems and university students’ dropout intentions — The buffering effect of personal best goals’, European Journal of Psychology of Education, Vol. 35, No. 2, pp. 477–493. https://doi.org/10.1007/s10212-019-00433-9
Bañeres, D., Rodríguez-González, M. E., Guerrero-Roldán, A. E., & Cortadas, P. (2023). An early warning system to identify and intervene online dropout learners. International Journal of Educational Technology in Higher Education, 20(1), 3. https://doi.org/10.1186/s41239-022-00371-5
Bowen, G.A. (2009), "Document Analysis as a Qualitative Research Method", Qualitative Research Journal, Vol. 9 No. 2, pp. 27-40. https://doi.org/10.3316/QRJ0902027
Casanova, J., Gomes, C., Bernardo, A., Núñez, J., & Almeida, L. (2021). Dimensionality and reliability of a screening instrument for students at-risk of dropping out from Higher Education. Studies in Educational Evaluation, 68,100957. https://doi.org/10.1016/j.stueduc.2020.100957
Canales, A., & De los Ríos, D. (2007). Factores explicativos de la deserción universitaria. Calidad en la Educación, (26), 173-201. https://doi.org/10.31619/caledu.n26.239
Castaño, E., Gallón, S., Gómez, K., & Vásquez, J. (2004). Deserción estudiantil universitaria: una aplicación de modelos de duración. Lecturas de economía, (60), 39-65. https://doi.org/10.17533/udea.le.n60a2707
Castaño, E., Gallón, S., Gómez, K., & Vásquez, J. (2008). Análisis de los factores asociados a la deserción estudiantil en la Educación Superior: un estudio de caso. Revista de educación. (Madrid)., No. 345 (2008),255-280, DOI: 10.4438/1988-592X-0034-8082-RE
Castillo H.G., Ariza H.M., Pereira M.P. Case study: Analysis of dropout, repetition and academic risk by higher education students at the universidad distrital Francisco José de Caldas (2020) International Journal of Engineering Research and Technology, 13 (11), pp. 3943 - 3949, DOI: 10.37624/IJERT/13.11.2020.3943-3949 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097906246&partnerID=40&md5=d1f47e37affab43c05d77aae38934859
Castro-Lopez, A., Cervero, A., Galve-González, C., Puente, J. and Bernardo, A. B. (2022) ‘Evaluating critical success factors in the permanence in Higher Education using multi-criteria decision making’, Higher Education Research & Development, Vol. 41, No. 3, pp. 628–646. https://doi.org/10.1080/07294360.2021.1877631
Centro de Estudios Económicos —CEDE—, Universidad de Los Andes. (2014). Determinantes de la deserción. [Informe mensual sobre el soporte técnico y avance del contrato para garantizar la alimentación, consolidación, validación y uso de la información del spadies]. Bogotá: Universidad de los Andes. Recuperado de https://www.mineducacion.gov.co/sistemasdeinformacion/1735/ articles 254702_Informe_determinantes_desercion.pdf
Colpo, M. P., Primo, T. T., & de Aguiar, M. S. (2024). Lessons learned from the student dropout patterns on COVID?19 pandemic: An analysis supported by machine learning. British Journal of Educational Technology, 55(2), 560-585. https://doi.org/10.1111/bjet.13380
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson.
Díaz-Mújica, A., Pérez Villalobos, M. V., Bernardo Gutiérrez, A. B., Cervero Fernández-Castañón, A. and González-Pienda García, J. A. (2019) ‘Affective and cognitive variables involved in structural prediction of university dropout’, Psicothema, Vol. 31, No. 4, pp. 429–436. https://doi.org/10.7334/psicothema2019.124
De Vasconcelos A.N., Freires L.A., Loureto G.D.L., Fortes G., da Costa J.C.A., Torres L.F.F., Bittencourt I.I., Cordeiro T.D., Isotani S.
Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students (2023) Frontiers in Psychology, 14, art. no. 1189283, Cited 2 times. DOI: 10.3389/fpsyg.2023.1189283
Dos Santos A., Corbari E., Borges L.F.P., Azevedo P.R. The dropout at the State University of Western Paraná: analysis through administrative records [Evasão na Universidade Estadual do Oeste do Paraná: análise através de registros administrativos] (2023) Educacao e Pesquisa, 49, art. no. e248553, Cited 0 times. DOI: 10.1590/S1678-4634202349248553 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161483039&doi=10.1590%2fS1678-4634202349248553&partnerID=40&md5=adf0c6c4f8fbcde3b31ad6764536f698
Espinosa-Castro, J.-F., Leydi, •, & Mariño-Castro, M. (2018). Estrategias para la permanencia. https://doi.org/10.5281/zenodo.4065045
http://bonga.unisimon.edu.co/bitstream/handle/123456789/2330/
Fourie, C. M. (2020) ‘Risk factors associated with first-year students’ intention to drop out from a university in South Africa’, Journal of Further and Higher Education, Vol. 44, No. 2, pp. 201–215, https://doi.org/10.1080/0309877X.2018.1527023
Fraenkel, J., Wallen, N., & Hyun, H. (2012). How to Design and Evaluate Research in Education 10th ed. McGraw-Hill Education.
Gallón, Santiago & Vasquez, Johanna & Castaño, Elkin. (2008). Análisis de los factores asociados a la deserción estudiantil en la Educación Superior: un estudio de caso. Revista de educación, ISSN 0034-8082, Nº 345, 2008 (Ejemplar dedicado a: De inmigrantes a minorías: temas y problemas de la multiculturalidad), pags. 255-280. DOI: 10.4438/1988-592X-0034-8082-RE
Garbanzo Vargas, G. M. (2012). Factores asociados al rendimiento académico en estudiantes universitarios, una reflexión desde la calidad de la educación superior pública. Revista Educación, 31(1), 43–63. https://doi.org/10.15517/revedu.v31i1.1252
Giraldo, C. J. C., Muñoz, V. C. I., Gil, H. R. J. (2020). Learning analytics model to determine the validity of learning path planning. International conference on Engeniring, science and technology
Guerrero-Roldán, A. E., Rodríguez-González, M. E., Bañeres, D., Elasri-Ejjaberi, A., & Cortadas, P. (2021). Experiences in the use of an adaptive intelligent system to enhance online learners’ performance: a case study in Economics and Business courses. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-021-00271-0
Jeno, L. M., Danielsen, A. G. and Raaheim, A. (2018) ‘A prospective investigation of students’ academic achievement and dropout in higher education: A Self-Determination Theory approach’, Educational Psychology, Vol. 38, No. 9, pp. 1163–1184. https://doi.org/10.1080/01443410.2018.1502412
Kocsis, Á., & Molnár, G. (2024). Factors influencing academic performance and dropout rates in higher education. Oxford Review of Education, 1–19. https://doi.org/10.1080/03054985.2024.2316616
Jay Lee, (2020) Statistics, Descriptive. International Encyclopedia of Human Geography (Second Edition), Elsevier, 2020, Pages 13-20, ISBN 9780081022962, https://doi.org/10.1016/B978-0-08-102295-5.10428-7.
MEN (2009). Deserción estudiantil en la educación superior colombiana. Metodología de seguimiento, diagnóstico y elementos para su prevención. Bogotá: Imprenta Nacional de Colombia.
Martín-Arbós S., Castarlenas E., Morales-Vives F., Dueñas J.-M. Students’ thoughts about dropping out: Sociodemographic factors and the role of academic help-seeking (2024) Social Psychology of Education, DOI: 10.1007/s11218-024-09903-5 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186865118&doi=10.1007%2fs11218-024-09903-5&partnerID=40&md5=0cc90851ee46f71bb212cad7954da31e
Portillo Tarragona, M. P., Marín Vinuesa, L. M., & Scarpellini, S. (2017). La edad y el rendimiento académico universitario [Age and Academic Performance of College Students] (No. COMPON-2017-0002). DOI: 10.26754/CINAIC.2017.000001_002
Porto, A., & Di Gresia, L. (2004). Rendimiento de estudiantes universitarios y sus determinantes. Revista de Economía y Estadística, 42(1), 93–113. https://doi.org/10.55444/2451.7321.2004.v42.n1.3800
Respondek, L., Seufert, T., Stupnisky, R. and Nett, U. E. (2017) ‘Perceived academic control and academic emotions predict undergraduate university student success: Examining effects on dropout intention and achievement’, Frontiers in psychology, Vol. 8, 243. https://doi.org/10.3389/fpsyg.2017.00243
Rodríguez Núñez, L. H., & Londoño Londoño, F. J. (2011). Estudio sobre deserción estudiantil en los programas de Educación de la Católica del Norte Fundación Universitaria. Revista Virtual Universidad Católica Del Norte, 33, 328–355. SSN 0124-5821 http://www.redalyc.org/articulo.oa?id=194218961018%0ACómo
Rodríguez , M. (2019). La investigación sobre deserción universitaria en Colombia 2006-2016. Tendencias y resultados. Pedagogía y Saberes, (51). 49–66. https://doi.org/10.17227/pys.num51-8664
Roopa, S., & Rani, M. S. (2012). Questionnaire designing for a survey. Journal of Indian Orthodontic Society, 46(4_suppl1), 273-277. DOI:10.5005/jp-journals-10021-1104
Scheunemann, A., Schnettler, T., Bobe, J., Fries, S. and Grunschel, C. (2021) ‘A longitudinal analysis of the reciprocal relationship between academic procrastination, study satisfaction, and dropout intentions in higher education’, European Journal of Psychology of Education, Vol. 37, No. 4, pp. 1141–1164. https://doi.org/10.1007/s10212-021-00571-z
Sistema para la Prevención y Análisis de la Deserción en las Instituciones de Educación Superior -SPADIES. (2021). Estadísticas de Deserción. SPADIES. https://www.mineducacion.gov.co/sistemasdeinformacion/1735/w3-article-357549.html?_noredirect=1
Sosu, E. M., & Pheunpha, P. (2019, February). Trajectory of university dropout: Investigating the cumulative effect of academic vulnerability and proximity to family support. In Frontiers in Education (Vol. 4, p. 6). Frontiers Media SA. https://doi.org/10.3389/feduc.2019.00006
Tinto, V (1989). Definir la deserción: una cuestión de perspectiva. Revista de Educación Superior N° 71, ANUIES, México. http://publicaciones.anuies.mx/pdfs/revista/Revista71_S1A3ES.pdf
Truta, C., Parv, L., & Topala, I. (2018). Academic Engagement and Intention to Drop Out: Levers for Sustainability in Higher Education. Sustainability, 10(12), 4637. https://doi.org/10.3390/su10124637
Universidad de Córdoba (2017). Acuerdo 207 el cual se adopta para la mitigación de la deserción académica
Véliz Palomino J. C., Ortega A. M. (2023) ‘Dropout Intentions in Higher Education: Systematic Literature Review’, Journal on Efficiency and Responsibility in Education and Science, vol. 16, no. 2, pp. 149-158. http://dx.doi.org/10.7160/eriesj.2023.160206
Vera Cala, L. M., Niño García, J. A., Porras Saldarriaga, A. M., Durán Sandoval, J. N., Delgado Chávez, P. A., Caballero Badillo, M. C., & Rueda Pablo, J. N. (2020). Salud mental y deserción en una población universitaria con bajo rendimiento académico. Revista Virtual Universidad Católica Del Norte, 60, 137–158. https://doi.org/10.35575/rvucn.n60a8
Villamizar Acevedo, G., & Romero Velásquez, L. C. (2011). Relación entre variables psicosociales y rendimiento académico en estudiantes de primer semestre de psicología. Revista Educación Y Desarrollo Social, 5(1), 41–54. https://doi.org/10.18359/reds.891
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