Tendencias tecnológicas en la prevención de la deserción escolar en los distintos niveles educativos: una revisión documental

Autores/as

  • Jeison Oswaldo Basto Carvajal University of Technology and Education. USA

DOI:

https://doi.org/10.66707/ms.v2i1.252

Palabras clave:

abandono escolar, analítica del aprendizaje, inteligencia artificial, permanencia estudiantil

Resumen

Las tendencias tecnológicas orientadas a la prevención de la deserción escolar en los distintos niveles educativos constituyen un aspecto clave de la transformación educativa en el entorno digital actual. Por tanto, el objetivo de este estudio fue explorar las tendencias tecnológicas en la prevención de la deserción escolar en los distintos niveles educativos. La metodología empleada, de alcance interpretativo y estructurada bajo el protocolo PRISMA, permitió recopilar un corpus de 31 documentos provenientes de Scopus, Redalyc y Google Académico. Los resultados evidencian cinco tendencias predominantes: analítica del aprendizaje y modelos predictivos, inteligencia artificial y automatización, plataformas digitales institucionales, tecnologías móviles e inclusión digital, y factores estructurales en diálogo con la tecnología.  Destaca la transición hacia sistemas de alerta temprana basados en datos para identificar riesgo de abandono. Se concluye que la efectividad tecnológica depende de su articulación con condiciones pedagógicas, institucionales y contextuales, dado el carácter multidimensional del abandono escolar.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Acevedo, F. (2021). Concepts and measurement of dropout in higher education: A critical perspective from Latin America. Issues in Educational Research, 31(3), 661–678. https://search.informit.org/doi/10.3316/informit.190795958120286

Alhabahbe, F. A., & Alhadidi, M. S. (2022). The degree to which students with visual impairments in Jordanian public schools use their assistive technology to study subjects in inclusive schools from their point of view. Dirasat: Human and Social Sciences, 49(2), 451–466.

Amiel, T., Zanatta, R. A., & Pezzo, T. (2024). The hidden costs of free services: How donations support the corporate platformization of education. Learning, Media and Technology, 1–14. Advance online publication. https://doi.org/10.1080/17439884.2024.2396916

Amir-ud-Din, R., Mahmood, H. Z., Abbas, F., Salman, V., & Zafar, S. (2021). Leaving studies because of lack of interest: An analysis of the risk factors of school dropouts in Pakistan. Quality & Quantity, 56, 3189–3214. https://doi.org/10.1007/s11135-021-01266-9

Budiarto, M. K., Gunarhadi, G., & Rahman, A. (2024). Technology in education through mobile learning application (MLA) and its impact on learning outcomes: Literature review. Journal of Education and Learning (EduLearn), 18(2), 413–420. https://doi.org/10.11591/edulearn.v18i2.20976

Cruz, E., Cozman, F. G., Souza, W., & Takiuti, A. (2021). The impact of teenage pregnancy on school dropout in Brazil: A Bayesian network approach. BMC Public Health, 21, 1–8. https://doi.org/10.1186/s12889-021-11878-3

Delprato, M., & Shephard, D. D. (Eds.). (2024). Achieving equitable education: Missing education data and the SDG 4 data regime. Edward Elgar Publishing. https://doi.org/10.4337/9781035313839

Dennison, C. R. (2022). Dropping out of college and dropping into crime. Justice Quarterly, 39(3), 585–611. https://doi.org/10.1080/07418825.2020.1740296

De Oliveira, C. F., Sobral, S. R., Ferreira, M. J., & Moreira, F. (2021). How does learning analytics contribute to prevent students’ dropout in higher education: A systematic literature review. Big Data and Cognitive Computing, 5(4), 64. https://doi.org/10.3390/bdcc5040064

Ennibras, F., Aoula, E. S., & Bouihi, B. (2024). AI in preventing dropout in distance higher education: A systematic literature review. In 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (pp. 1–7). https://doi.org/10.1109/IRASET60544.2024.10548954

Farcnik, D., Domadenik Muren, P., & Franca, V. (2022). Drop-out, stop-out or prolong? The effect of COVID-19 on students’ choices. International Journal of Manpower, 43(7), 1700–1718. https://doi.org/10.1108/IJM-06-2021-0353

Gallego, M. G., Perez de los Cobos, A. P., & Gallego, J. C. G. (2021). Identifying students at risk to academic dropout in higher education. Education Sciences, 11(8), 427. https://doi.org/10.3390/educsci11080427

Herlina, S., Kusumah, Y. S., & Juandi, D. (2025). Global research on emerging digital technology: A bibliometric analysis. Journal of Advanced Research in Applied Sciences and Engineering Technology, 51(2), 281–294. https://doi.org/10.37934/araset.51.2.281294

Higgins, S., Dobson, E., Kay, J., & Okwen, P. (2022). Transferability of education theories in the Chad Basin: A meta-analysis. Centre of Excellence for Development Impact and Learning (CEDIL). https://coilink.org/20.500.12592/hjz374

Hernández-Sampieri, R., & Mendoza Torres, C. P. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill Education.

Kaarakainen, M. T., & Saikkonen, L. (2021). Multilevel analysis of the educational use of technology: Quantity and versatility of digital technology usage in Finnish basic education schools. Journal of Computer Assisted Learning, 37(4), 953–965.

Lagun, N., & Sah, R. P. (2024). Evaluating variation in school dropout rates in rural Nepal: A statistical study. International Journal of Science and Research Archive, 12(1), 1063–1073.

Leal Filho, W., Lange Salvia, A., Beynaghi, A., Fritzen, B., Ulisses, A., Avila, L. V., & Nikolaou, I. (2024). Digital transformation and sustainable development in higher education in a post-pandemic world. International Journal of Sustainable Development & World Ecology, 31(1), 108–123. https://doi.org/10.1080/13504509.2023.2237933

Lorenzo, O., Galdón, S., & Lendínez, A. (2023). Factors contributing to university dropout: A review. Frontiers in Education, 8, 1159864. https://doi.org/10.3389/feduc.2023.1159864

Makda, F. (2025). Digital education: Mapping the landscape of virtual teaching in higher education – A bibliometric review. Education and Information Technologies, 30(2), 2547–2575. https://doi.org/10.1007/s10639-024-12899-2

Meisuri, M., Nuswantoro, P., Mardikawati, B., & Judijanto, L. (2023). Technology revolution in learning: Building the future of education. Journal of Social Science Utilizing Technology, 1(4), 214–226. https://doi.org/10.70177/jssut.v1i4.660

Munagkur, U. C., & Olowo, A. F. (2025). Using ICT to reduce primary school dropout rates in Northwest Nigeria: A sustainable approach. International Journal of Multidisciplinary Research and Growth Evaluation, 6(3), 689–697.

Nurmalitasari, Awang Long, Z., & Faizuddin Mohd Noor, M. (2023). Factors influencing dropout students in higher education. Education Research International, 2023(1), 7704142. https://doi.org/10.1155/2023/7704142

Ogresta, J., Rezo, I., Kožljan, P., Paré, M.-H., & Ajduković, M. (2021). Why do we drop out? Typology of dropping out of high school. Youth & Society, 53(6), 934–954. https://doi.org/10.1177/0044118X20918435

Perchinunno, P., Bilancia, M., & Vitale, D. (2021). A statistical analysis of factors affecting higher education dropouts. Social Indicators Research, 156, 341–362. https://doi.org/10.1007/s11205-019-02249-y

Pérez Chichipe, M. D., Hilario Falcón, F. M., & Pumacayo Palomino, I. I. (2022). School dropout in times of virtual revolution. International Journal of Engineering Sciences, 15(3), 89–97. https://doi.org/10.36224/ijes.150301

Realinho, V., Machado, J., Baptista, L., & Martins, M. V. (2022). Predicting student dropout and academic success. Data, 7(11), 146. https://doi.org/10.3390/data7110146

Samaniego, M. V., Orrego, M. C., Barriga, S. F., & Paz, B. S. (2025). Technologies in inclusive education: Solution or challenge? A systematic review. Education Sciences, 15(6), 715. https://doi.org/10.3390/educsci15060715

Shishakly, R., Almaiah, M. A., Lutfi, A., & Alrawad, M. (2024). The influence of using smart technologies for sustainable development in higher education institutions. International Journal of Data & Network Science, 8(1), 77–90. https://doi.org/10.5267/j.ijdns.2023.10.015

Silva, G. (2025). Technology as a Tool to Reduce School Dropout Rates in Costa Rica. International Journal of Changes in Education. https://doi.org/10.47852/bonviewIJCE52025230

Tsolou, O., Babalis, T., & Tsoli, K. (2021). The impact of COVID-19 pandemic on education: Social exclusion and dropping out of school. Creative Education, 12(3), 529. https://doi.org/10.4236/ce.2021.123036

Zamora Araya, J. A., Aguilar Fernández, E., & Rodríguez-Pineda, M. (2024). Simple correspondence analysis to study the relationship between school dropout factors and the stratum of the student’s school of origin at the Universidad Nacional, Costa Rica. https://hdl.handle.net/11056/29263

Descargas

Publicado

2026-10-01

Cómo citar

Basto Carvajal, J. O. (2026). Tendencias tecnológicas en la prevención de la deserción escolar en los distintos niveles educativos: una revisión documental . Mundo Sostenible, 2(1), 163–185. https://doi.org/10.66707/ms.v2i1.252

Número

Sección

Artículo de investigación

Artículos similares

1 2 3 > >> 

También puede Iniciar una búsqueda de similitud avanzada para este artículo.