Keywords
Distance Education, Student Profiling, Sociodemographic Factors, Academic Retention.
Abstract
The characterization of students in distance technological programs is an essential tool for understanding educational dynamics and designing strategies aimed at promoting retention and academic success. However, research on the specific traits of these students is limited in this modality, so it is necessary to collect empirical information to guide institutional policies and propose effective retention strategies for a population historically excluded from the higher education system. Objective: To characterize, in a descriptive and multitemporal way, the sociodemographic, academic and psychosocial conditions of UPTC-FESAD students, to identify trends, patterns of change and possible risk factors that affect their permanence and academic success. This study was conducted at the Faculty of Distance Studies (FESAD) of the Pedagogical and Technological University of Colombia (UPTC), using a descriptive design with a quantitative approach. Structured surveys were administered during the 2022-I, 2023-I, 2023-II, and 2024-I academic periods to collect sociodemographic, academic, and psychosocial information from the student population. The findings reveal a predominantly female profile (79.1%), along with a progressive increase in students over 30 years of age and a decline in younger cohorts. Likewise, the majority of students come from public educational institutions (82.9%), and two-thirds are entering higher education for the first time. Additionally, 58% combine study with employment, while 66.1% report earning below the legal minimum wage, highlighting significant vulnerability conditions. This profile presents critical challenges related to balancing academic, work, and family roles, addressing the feminization of enrollment, implementing academic leveling programs, and strengthening university welfare services as a strategy to prevent dropout. The program is positioned as a space for inclusion and educational democratization, but it requires real and viable institutional adjustments that ensure equity, flexibility, and comprehensive support in order to effectively address the needs of a diverse, complex student population with multiple responsibilities.
References
Acosta-Corporan, R., Martín-García, A. V., & Hernández-Martín, A. (2022). Level of satisfaction in high school students with the use of computer-supported collaborative learning in the classroom. Revista Electronica Educare, 26(2), 23-41. https://doi.org/10.15359/ree.26-2.2
Ahonen, L., Cowley, B. U., Hellas, A., & Puolamäki, K. (2018). Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment. Scientific Reports, 8(1), 3138. https://doi.org/10.1038/s41598-018-21518-3
Al-Rawahi, L. S., & Al-Mekhlafi, A. M. (2015). The effect of online collaborative project-based learning on English as a Foreign Language learners’ language performance and attitudes. Learning and teaching in higher education: Gulf perspectives, 12(2), 74-91. https://doi.org/10.18538/lthe.v12.n2.186
Alvarez-Munoz, P., & Perez-Montoro, M. (2015). Analysis of production and scientific visibility of Ecuador in the Andean context (2000-2013). Profesional de la Informacion, 24(5), 577-586. https://doi.org/10.3145/epi.2015.sep.07
Ampartzaki, M., Tassis, K., Kalogiannakis, M., Pavlidou, V., Christidis, K., Chatzoglidou, S., & Eleftherakis, G. (2024). Assessing the Initial Outcomes of a Blended Learning Course for Teachers Facilitating Astronomy Activities for Young Children. Education Sciences, 14(6), 606. https://doi.org/10.3390/educsci14060606
Aprianto, D., & Zaini, N. (2019). The Principles of Language Learning and Teaching in Communication Skill Developments. Voices of English Language Education Society, 3(1), 45-61. https://doi.org/10.29408/veles.v2i1.504.g423
Ávalos Dávila, C., & Sevillano García, M. L. (2018). El desarrollo de competencias investigativas en la formación de estudiantes de la UNED de Costa Rica mediante la metodología Lean Startup. Educatio Siglo XXI, 36(3), 417-442. https://doi.org/10.6018/j/350071
Azevedo, R. (2015). Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues. Educational Psychologist, 50(1), 84-94. https://doi.org/10.1080/00461520.2015.1004069
Baker, M., Bernard, F.-X., & Dumez-Féroc, I. (2012). Integrating computer-supported collaborative learning into the classroom: the anatomy of a failure. Journal of Computer Assisted Learning, 28(2), 161-176. https://doi.org/10.1111/j.1365-2729.2011.00435.x
Banderas Martínez, C., Cárdenas Olivares, G., & Martínez Castro, M. E. (2018). Teachins perspectives on the investigative competences training in relation to subjet programs. Sincronía, 22(74), 589-616. https://doi.org/10.32870/sincronia.axxii.n74.29b18
Barenthien, J., Oppermann, E., Anders, Y., & Steffensky, M. (2020). Preschool teachers’ learning opportunities in their initial teacher education and in-service professional development – do they have an influence on preschool teachers’ science-specific professional knowledge and motivation? International Journal of Science Education, 42(5), 744-763. https://doi.org/10.1080/09500693.2020.1727586
Barros Bastidas, C., & Turpo Gebera, O. (2020). La formación en investigación y su incidencia en la producción científica del profesorado de educación de una universidad pública de Ecuador. Publicaciones, 50(2), 167-185. https://doi.org/10.30827/publicaciones.v50i2.13952
Bolivar Osorio, R. M. (2019). Investigar la práctica pedagógica en la formación inicial de maestros. Pedagogía y Saberes, (51), 9-22. https://doi.org/10.17227/pys.num51-288
Borge, M., Toprani, D., Yan, S., & Xia, Y. (2020). Embedded design: engaging students as active participants in the learning of human-centered design practices. Computer Science Education, 30(1), 47-71. https://doi.org/10.1080/08993408.2019.1688592
Buendía-Arias, X. P., Zambrano-Castillo, L. C., & Insuasty, E. A. (2018). Development of Research Skills in Pre-Service Teachers in the Context of the Teaching Practice. Folios, (47), 179-195. https://doi.org/10.17227/folios.47-7405
Castles, A., Rastle, K., & Nation, K. (2018). Ending the Reading Wars: Reading Acquisition From Novice to Expert. Psychological Science in the Public Interest, 19(1), 5-51. https://doi.org/10.1177/1529100618772271
Cupare Castro, O. J., & Resplandor Barreto, G. E. (2023). Estrategias didácticas para el desarrollo de competencias investigativas en estudiantes universitarios. Prohominum, 5(1), 126-143. https://doi.org/10.47606/ACVEN/PH0175
De la Barrera, U., Mónaco, E., & Valero-Moreno, S. (2023). Application of teaching innovation methodology: Training in psychological interview techniques through an escape game. Revista Innovaciones Educativas, 25(38), 185-197. https://doi.org/10.22458/ie.v25i38.4247
Estevez, I., Rodríguez, S., Valle, A., Regueiro, B., & Piñeiro, I. (2016). Incidencia de las metas académicas del alumnado de secundaria en su gestión motivacional. Aula Abierta, 44(2), 83-90. https://doi.org/10.1016/j.aula.2016.03.001
Friedman, N. P., & Robbins, T. W. (2022). The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology, 47(1), 72-89. https://doi.org/10.1038/s41386-021-01132-0
Granados-López, H., Pérez, J. H., Porras-Muñoz, J., Pedraza-Jiménez, Y., & Gallego-López, F. A. (2024). Model for the Analysis of Social Regulation and Collaboration during the Development of Group Tasks. Sustainability, 16(18), 7947. https://doi.org/10.3390/su16187947
Gutiérrez-Castillo, J. J., Palacios-Rodríguez, A., Martín-Párraga, L., & Serrano-Hidalgo, M. (2023). Development of Digital Teaching Competence: Pilot Experience and Validation through Expert Judgment. Education Sciences, 13(1), 52. https://doi.org/10.3390/educsci13010052
Hernandez-Sampieri, R. (2018). Metodología de la Investigación: las rutas cuantitativas, cualitativas y mixta. McGraw Hill Mexico.
Järvelä, S. (2015). How research on self-regulated learning can advance computer supported collaborative learning. Journal for the Study of Education and Development, 38(2), 279-294. https://doi.org/10.1080/02103702.2015.1016747
Kautzmann, T. R., & Jaques, P. A. (2019). Effects of adaptive training on metacognitive knowledge monitoring ability in computer based learning. Computers & Education, 129, 92-105. https://doi.org/10.1016/j.compedu.2018.10.017
Malmberg, J., Järvelä, S., Holappa, J., Haataja, E., Huang, X., & Siipo, A. (2019). Going beyond what is visible: What multichannel data can reveal about interaction in the context of collaborative learning? Computers in Human Behavior, 96, 235-245. https://doi.org/10.1016/j.chb.2018.06.030
Mármol Castillo, M. C., Conde Lorenzo, E., Cueva Estrada, J. M., & Sumba Nacipucha, N. A. (2022). Desarrollo de habilidades investigativas en estudiantes de Educación Superior a través de neuroeducación. Praxis Pedagógica, 22(32), 141-174. https://doi.org/10.26620/uniminuto.praxis.22.32.2022.141-174
Martín-Núñez, J. L., Bravo-Ramos, J. L., Sastre-Merino, S., Pablo-Lerchundi, I., Caravantes Redondo, A., & Núñez-del-Río, C. (2022). Teaching in Secondary Education Teacher Training with a Hybrid Model: Students’ Perceptions. Sustainability, 14(6), 3272. https://doi.org/10.3390/su14063272
Matas, A. (2018). Diseño del formato de escalas tipo Likert: un estado de la cuestión. Revista Electrónica de Investigación Educativa, 20(1), 38-47. https://doi.org/10.24320/redie.2018.20.1.1347
Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers & Education, 123, 41-52. https://doi.org/10.1016/j.compedu.2018.04.012
Montes, I. C., & Mendoza, P. (2018). Teaching and research in Colombia from the perspective of academic capitalism. Education Policy Analysis Archives, 26(40), 1-33. https://doi.org/10.14507/epaa.26.3220
Panadero, E., & Alonso-Tapia, J. (2014). How do students self-regulate? Review of Zimmerman’s cyclical model of self-regulated learning. Anales de Psicologia, 30(2), 450-462. https://doi.org/10.6018/analesps.30.2.167221
Perines, H. A. (2020). Training in educational research for future professors. Formación Universitaria, 13(4), 139-152. https://doi.org/10.4067/S0718-50062020000400139
Prendes Espinosa, M. P. (2018). La Tecnología Educativa en la Pedagogía del siglo XXI: una visión en 3D. RiiTE Revista interuniversitaria de investigación en Tecnología Educativa, (4), 6-16. https://doi.org/10.6018/riite/2018/335131
Prins, G. T., Bulte, A. M. W., & Pilot, A. (2016). An Activity-Based Instructional Framework for Transforming Authentic Modeling Practices into Meaningful Contexts for Learning in Science Education. Science Education, 100(6), 1092-1123. https://doi.org/10.1002/sce.21247
Schmidt, H. G., Rotgans, J. I., & Yew, E. H. J. (2011). The process of problem-based learning: what works and why. Medical Education, 45(8), 792-806. https://doi.org/10.1111/j.1365-2923.2011.04035.x
Tolosa, A. D., & Zerpa, C. E. (2009). Effect of a program of compehension of texts with moral content on the structures of moral reasoning of students of the first year of the diversified cycle. Revista de Pedagogía, 30(87), 247-280. https://ve.scielo.org/pdf/p/v30n87/art03.pdf
Tuckman, B. W. (1965). Developmental Sequence in Small Groups. Psychological Bulletin, 63(6), 384-399. https://doi.org/10.1037/h0022100
Viñals Blanco, A., & Cuenca Amigo, J. (2016). El rol del docente en la era digital. Revista Interuniversitaria de Formación del Profesorado, 30(2), 103-114. https://recyt.fecyt.es/index.php/RIFOP/issue/view/2859/218
Zhao, K., & Zheng, Y. (2014). Chinese Business English Students’ Epistemological Beliefs, Self-Regulated Strategies, and Collaboration in Project-Based Learning. The Asia-Pacific Education Researcher, 23(2), 273-286. https://doi.org/10.1007/s40299-013-0103-z
Zheng, L., & Huang, R. (2016). The effects of sentiments and co-regulation on group performance in computer supported collaborative learning. The Internet and Higher Education, 28, 59-67. https://doi.org/10.1016/j.iheduc.2015.10.001
Fundref
This research was funded by Universidad Pedagógica y Tecnológica de Colombia UPTC, Special Account for Research Funds.
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Technical information
Received: 2025-09-24 | Reviewed: 2025-11-08 | Accepted: 2025-11-10 | Online First: 2026-04-11 | Published: 2026-04-15
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Deisy Carolina Rueda., Bethy Edith Moreno Farias., Sonia Consuelo Benitez-Camargo. (2026). Sociodemographic, Academic, and Psychosocial Characterization of Students in Distance Technological Programs: A Multitemporal Descriptive Analysis (2022–2024). Comunicar, 34(85). 10.5281/zenodo.19691586
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