Socioeconomic factors and their impact on the learning of university students of an administrative faculty: an approach from the Sustainable Development Approach.
Abstract
The objective of this work is to determine the impact of socioeconomic aspects on the learning of university students of an administrative faculty. From the Sustainable Development Goals (SDG) approach, in the interests of quality education, a survey was applied to 234 university-level students, and using a multiple regression statistical technique, the hypothesis was contrasted. A statistically predictive model was established that can help actors in the education sector to make better decisions that benefit the UN SDG 4, for quality education. In the findings, it is found that the socioeconomic factors with the greatest weight in school performance are Education of the mother or guardian and Family economic income.
References
Agudelo, A. S., Figueroa, L. A., & Vasquez, L. (2019). Relaciones causales de los factores que afectan el desempeño de los estudiantes en pruebas estandarizadas en Colombia. Revista espacios, 40(23).
Alves, M. T. G., Nogueira, M. A., Nogueira, C. M. M., & Resende, T. D. F. (2013). Family factors and school performance: a multidimensional approach. Dados, 56(3), 571-603. Doi: https://doi.org/10.1590/S0011-52582013000300004.
Cashin, P. (1995). Government spending, taxes, and economic growth. Staff Papers, 42(2), 237-269.
Castejón JL & Pérez AM (1998). Un modelo causal-explicativo sobre la influencia de las variables psicosociales en el rendimiento académico. Bordón, Revista de Pedagogía; 50:171-85.
DiAngelo, R. (2018). White fragility: Why it's so hard for white people to talk about racism. Beacon Press.
Duong, M.-Q., Hoang, M.-K., & Wu, C.-L. (2019). Student inequalities in Vietnamese higher education? Exploring how gender, socioeconomic status, and university experiences influence leadership efficacy. Innovations in Education & Teaching International, 56(1), 110–120. https://doi.org/10.1080/14703297.2017.1377098
Esteve A, Schwartz CR, Van Bavel J, Permanyer I, Klesment K, Garcı´a-Roma´n J. The End of Hypergamy: Global Trends and Implications. Popul Dev Rev 2016; 42: 615–625. https://doi.org/10.1111/padr.12012 PMID: 28490820
Finn, J. L. (2020). Just practice: A social justice approach to social work. Oxford University Press.
Howard, G. R. (2016). We can't teach what we don't know: White teachers, multiracial schools. Teachers College Press.
Jagers, R. J., Rivas-Drake, D., & Williams, B. (2019). Transformative social and emotional learning (SEL): Toward SEL in service of educational equity and excellence. Educational Psychologist, 54(3), 162-184.
Kirkland, D. E. (2019). MORE THAN WORDS: Teaching literacy to vulnerable learners. Literacy Today (2411-7862), 37(2), 10–11.
Kobayashi, L. C., Berkman, L. F., Wagner, R. G., Kahn, K., Tollman, S., & Subramanian, S. V. (2019). Education modifies the relationship between height and cognitive function in a cross-sectional population-based study of older adults in Rural South Africa. European Journal of Epidemiology, 34(2), 131–139. https://doi.org/10.1007/s10654-018-0453-1
Kollia, N., Caballero, F.F., Sanchez-Niubo, A., Tyrovolas, S., Ayuso-Mateos, J.L., Haro, J.M., Chatterji, S. & Panagiotakos, D.B. (2018) Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project. BMC Public Health, 18, 1357-1366.
Lalinde, J. D. H., Castro, F. E., Rodríguez, J. E., Rangel, J. G. C., Sierra, C. A. T., Torrado, M. K. A., & Pirela, V. J. B. (2018). Sobre el uso adecuado del coeficiente de correlación de Pearson: definición, propiedades y suposiciones. Archivos venezolanos de Farmacología y Terapéutica, 37(5), 587-595.
Martínez, A. M., & Ortega, F. Z. (2014). El rol que tiene la influencia familiar y su nivel académico, en los itinerarios curriculares de estudiantes de último curso. Educatio Siglo XXI, 32(2 Julio), 267-286.
Molano-Castro, L. Y., Cudris-Torres, L., Barrios-Núñez, Á., Alvis-Barranco, L., & López-Castellar, M. A. (2020). Acompañamiento familiar y rendimiento académico en estudiantes colombianos en edad escolar. Archivos Venezolanos de Farmacología y Terapéutica, 39(3), 251-256.
Nurrika, D., Zhang, S., Discacciati, A., Tomata, Y., Liu, Y., Sugawara, Y., & Tsuji, I. (2020). Education Level, Monthly Per-Capita Expenditure, and Healthy Aging in the Older Indonesian Population: The Indonesia Family Life Survey 2007 and 2014. The Tohoku Journal of Experimental Medicine, 250(2), 95–108. https://doi.org/10.1620/tjem.250.95
Oshio, T. (2018) Widening disparities in health between educational levels and their determinants in later life: evidence from a nine-year cohort study. BMC Public Health, 18, 278-288.
Pascariu, C. (2019). Role of Family in Educating Children. Astra Salvensis, 14, 89–94.
Pérez-Contreras, B., González-Otero, K., & Polo-Bolaño, Y. (2018). Perfil sociodemográfico y económico de estudiantes universitarios. Búsqueda, 5(20), 48-62.
Permanyer, I., & Boertien, D. (2019). A century of change in global education variability and gender differences in education. PloS One, 14(2), e0212692. https://doi.org/10.1371/journal.pone.0212692
Soto-González, M., Cuña-Carrera, D., Gutiérrez-Nieto, M., & Barreira-Salgado, Á. (2018). Nivel educativo de los progenitores como factor mediador del estrés académico. FEM: Revista de la Fundación Educación Médica, 21(1), 23-29.
Vygotsky, L.S. (1987). The collected works of L.S. Vygotsky, Vol. 1: Problems of general psychology. N. Minick, Trans., R.W. Rieber & A.S. Carton (Eds.). New York: Plenum Press.








