The Importance of Microlearning in Higher Education

Authors

DOI:

https://doi.org/10.31637/epsir-2025-2075

Keywords:

microlearning, higher education, student motivation, educational flexibility, learning autonomy, innovation, adaptability, personalization

Abstract

Introduction: Microlearning emerges as an innovative educational methodology that meets the demands of higher education in the digital age by offering brief and accessible content that fosters student autonomy and motivation. Methodology: This study, conducted with a sample of 138 university students in Ecuador, employed a structural equation model with a covariance-based approach to analyze the relationships between perceived usefulness of microlearning, learning flexibility and autonomy, and student motivation and engagement. Results: The analyses confirmed that perceived usefulness significantly influences learning flexibility and autonomy, which in turn impacts motivation and engagement. The obtained fit indices validate the proposed theoretical model. Discussion: Preferences were identified in microlearning formats and platforms, highlighting short videos, interactive quizzes, and the frequent use of tools such as WhatsApp and Instagram, indicating the need to adapt educational strategies to students' everyday digital tools. Conclusions: The study underscores the value of microlearning as an effective pedagogical strategy to personalize and optimize the educational experience in higher education, especially in contexts with technological infrastructure and accessibility challenges.

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Author Biographies

German Jazmany Zambrano Verdesoto, Universidad Bolivariana del Ecuador

Investigador ecuatoriano con una sólida trayectoria académica en las áreas de administración, innovación y tecnología. Su producción científica abarca temas como el microaprendizaje, la transformación digital, el emprendimiento y el uso de tecnologías emergentes en la educación superior. Ha participado en estudios sobre la aplicación del Business Model Canvas en modelos de negocio emprendedores y en investigaciones relacionadas con la detección de Big Data utilizando redes en la nube y técnicas de visión por computadora. Su enfoque interdisciplinario combina elementos de economía, sociología y filosofía, contribuyendo al desarrollo de estrategias pedagógicas innovadoras y al análisis de modelos empresariales en contextos digitales.

María Fernanda Caicedo, Universidad Bolivariana del Ecuador

Investigadora en el campo de la odontología, afiliada a la Facultad de Odontología de la Universidad Central del Ecuador. Su trabajo se ha centrado en la aplicación de terapias antimicrobianas en contextos odontológicos, incluyendo estudios sobre la actividad antimicrobiana de adhesivos ortodónticos con nanopartículas de plata y la terapia fotodinámica antimicrobiana en Candida albicans sobre acrílicos. Su investigación contribuye al desarrollo de tratamientos innovadores para mejorar la salud bucal y combatir infecciones en el ámbito odontológico.

References

Abrego, G, González, R, Cornejo, E y De León, C. (2021). El microlearning en la educación superior. Semilla Científica: Revista de Investigación Formativa, 285-292. https://repositorio.umecit.edu.pa/handle/001/4633

Alias, N. F. y Abdul Razak, R. (2023). Exploring the pedagogical aspects of microlearning in educational settings: A systematic literature review. Malaysian Journal of Learning and Instruction (MJLI), 20(2), 267-294. https://goo.su/czGS DOI: https://doi.org/10.32890/mjli2023.20.2.3

Anderson, JC & Gerbing, DW (1988). Modelado de ecuaciones estructurales en la práctica: una revisión y un enfoque recomendado de dos pasos. Boletín Psicológico, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411 DOI: https://doi.org/10.1037//0033-2909.103.3.411

Amar Rodríguez, V., Romero Oliva, M. F. y Heredia Ponce, H. (2024). Presentación de la sección especial: Microaprendizaje y tecnología. Edutec, Revista Electrónica de Tecnología Educativa, 88, 1-6. https://doi.org/10.21556/edutec.2024.88.3313 DOI: https://doi.org/10.21556/edutec.2024.88.3313

Barradas-Gudiño, J. (2020). Microlearning como Herramienta de Entrenamiento Tecnológico del Docente Universitario. Revista Docentes 2.0, 8(2), 28-33. https://doi.org/10.37843/rted.v8i2.172 DOI: https://doi.org/10.37843/rted.v8i2.172

Betancur Chicué, V. y García-Valcárcel Muñoz-Repiso, A. (2023). Características del diseño de estrategias de microaprendizaje en escenarios educativos: revisión sistemática. RIED: Revista Iberoamericana de Educación a Distancia, 26(1), 201-222. https://doi.org/10.5944/ried.26.1.34056 DOI: https://doi.org/10.5944/ried.26.1.34056

Browne, M. W. y Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. https://journals.sagepub.com/doi/abs/10.1177/0049124192021002005 DOI: https://doi.org/10.1177/0049124192021002005

Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge/Taylor & Francis Group.

Conde-Caballero, D., Castillo-Sarmiento, C. A., Ballesteros-Yánez, I., Rivero-Jiménez, B. y Mariano-Juárez, L. (2024). Microlearning through TikTok in Higher Education. An evaluation of uses and potentials. Education and Information Technologies, 29(2), 2365-2385. https://doi.org/10.1007/s10639-023-11904-4 DOI: https://doi.org/10.1007/s10639-023-11904-4

Deci, E. L. y Ryan, R. M. (1985). The general causality orientations scale: Self-determination in personality. Journal of Research in Personality, 19(2), 109-134. https://doi.org/10.1016/0092-6566(85)90023-6 DOI: https://doi.org/10.1016/0092-6566(85)90023-6

Denojean-Mairet, M., López-Pernas, S. y Agbo, F. J. (2024) A literature review on the integration of microlearning and social media. Smart Learn. Environ, 11(46). https://doi.org/10.1186/s40561-024-00334-5 DOI: https://doi.org/10.1186/s40561-024-00334-5

Fidan, M. (2023) The effects of microlearning-supported flipped classroom on pre-service teachers’ learning performance, motivation and engagement. Education Info Technology, 28, 12687-12714 . https://doi.org/10.1007/s10639-023-11639-2 DOI: https://doi.org/10.1007/s10639-023-11639-2

Fornell, C. y Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312 DOI: https://doi.org/10.1177/002224378101800104

Henseler, J., Ringle, C. M. y Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8 DOI: https://doi.org/10.1007/s11747-014-0403-8

Hu, L.-t. y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118 DOI: https://doi.org/10.1080/10705519909540118

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

Kumar, J. A., Richard, R. J. y Osman, S. (2022). Micro-credentials in leveraging emergency remote teaching: the relationship between novice users’ insights and identity in Malaysia. International Journal Educational Technology High Education, 19(18). https://doi.org/10.1186/s41239-022-00323-z DOI: https://doi.org/10.1186/s41239-022-00323-z

Machado Fiuza Fialho, L., Nascimento Sabino Neves, V. y Silva do Nascimento, K. A. (2024). El uso del microaprendizaje en el ámbito educativo: una visión general de la producción científica mundial. Edutec, Revista Electrónica de Tecnología Educativa, 88, 7-23. https://doi.org/10.21556/edutec.2024.88.3123 DOI: https://doi.org/10.21556/edutec.2024.88.3123

Mayer, R. E. (2019). How multimedia can improve learning and instruction. En J. Dunlosky y K. A. Rawson (Eds.), The Cambridge handbook of cognition and education (pp. 460-479). Cambridge University Press. https://doi.org/10.1017/9781108235631.019 DOI: https://doi.org/10.1017/9781108235631.019

Moreno, F. (2023). El micro aprendizaje e-learning y ubicuo u-learning. Estrategias para las empresas en post pandemia . Momboy, 19. https://doi.org/10.70219/mby-192023-82 DOI: https://doi.org/10.70219/mby-192023-82

Nikkhoo, I., Ahmadi, Z., Akbari, M., Imannezhad, S., Anvari Ardekani, S. y Lashgari, H. (2023). Microlearning for today’s students: A rapid review of essentials and considerations. Medical Education Bulletin, 4(1), 673-685. https://goo.su/xUhjoP

Ortega Hernández, N. (2022). El microlearning (microaprendizaje) como herramienta didáctica en la asignatura microbiología del grado de veterinaria. Anales de Veterinaria de Murcia, 36. https://doi.org/10.6018/analesvet.542361 DOI: https://doi.org/10.6018/analesvet.542361

Ovidiu, G., Cristina, T. y Corneliu, T. (2021). An approach to adaptive microlearning in higher education, 15th International Technology. En Education and Development Conference. https://doi.org/10.48550/arXiv.2205.06337

Pham, H.-H. , Nguyen, N.-TN , Dinh Hai, L. , Nguyen, T.-T. y Nguyen, V. (2024). Mapeo científico de la base de conocimientos sobre microaprendizaje: uso de la base de datos Scopus entre 2002 y 2021. Journal of Research in Innovative Teaching & Learning. https://doi.org/10.1108/JRIT-09-2023-0132 DOI: https://doi.org/10.1108/JRIT-09-2023-0132

Rof, A., Bikfalvi, A. y Marques, P. (2024). Exploring learner satisfaction and the effectiveness of microlearning in higher education. The Internet and Higher Education, 100952. https://doi.org/10.1016/j.iheduc.2024.100952 DOI: https://doi.org/10.1016/j.iheduc.2024.100952

Romero-Rodríguez, J.-M., Ramírez-Montoya, M.S., Glasserman-Morales, L.D. and Ramos Navas-Parejo, M. (2023). Collaborative online international learning between Spain and Mexico: a microlearning experience to enhance creativity in complexity. Education + Training, 65(2), 340-354. https://doi.org/10.1108/ET-07-2022-0259 DOI: https://doi.org/10.1108/ET-07-2022-0259

Salas-Bustos, D. A. (2020). Enseñanza remota y redes sociales: estrategias y desafíos para conformar comunidades de aprendizaje. Revista Andina de Educación, 4(1), 36-42. https://doi.org/10.32719/26312816.2021.4.1.5 DOI: https://doi.org/10.32719/26312816.2021.4.1.5

Salas-Díaz, F. y González-Bello, E. O. (2023). Profiles of Higher Education Students Adopting Microlearning Strategies. Revista Electrónica Educare, 27(2), 338-354. http://dx.doi.org/10.15359/ree.27-2.17196 DOI: https://doi.org/10.15359/ree.27-2.17196

Sankaranarayanan, R., Leung, J. y Abramenka-Lachheb, V. (2023). Microaprendizaje en contextos diversos: un análisis bibliométrico. TechTrends, 67, 260-276. https://doi.org/10.1007/s11528-022-00794-x DOI: https://doi.org/10.1007/s11528-022-00794-x

Sathiyaseelan, B., Mathew, J. y Nair, S. (2024). Microaprendizaje y rendimiento del aprendizaje en la educación superior: un estudio de grupo de control posterior a la prueba. Journal of Learning for Development, 11(1), 1-14. https://doi.org/10.56059/jl4d.v11i1.752 DOI: https://doi.org/10.56059/jl4d.v11i1.752

Selvaratnam, R. M. y Sankey, M. (2021). An integrative literature review of the implementation of micro-credentials in higher education: Implications for practice in Australasia. Journal of Teaching and Learning for Graduate Employability, 12(1), 1-17. https://doi.org/10.21153/jtlge2021vol12no1art942 DOI: https://doi.org/10.21153/jtlge2021vol12no1art942

Sierra Sánchez, J., Liberal Ormaechea, S. y Luceno Ramos, B. (2018). Analysis of the subject Final Degree Project (FDP) in Spanish Communication Sciences degrees. Revista Española de Documentación Científica, 41(4), e220. https://doi.org/10.3989/redc.2018.4.1561 DOI: https://doi.org/10.3989/redc.2018.4.1561

Senandheera, V. V., Muthukumarana, C. K., Ediriweera, D. S. y Rupasinghe, T. P. (2024). Impact of microlearning on academic performance of students in higher education: A systematic review and meta-analysis. Journal of Multidisciplinary & Translational Research, 9(1). https://jmtr.sljol.info/articles/10.4038/jmtr.v9i1.2 DOI: https://doi.org/10.4038/jmtr.v9i1.2

Shatte, A. B. R. y Teague, S. (2020). Microlearning for improved student outcomes in higher education: A scoping review. https://doi.org/10.31219/osf.io/fhu8n DOI: https://doi.org/10.31219/osf.io/fhu8n

Taylor, A. y Hung, W. (2022)Los efectos del microaprendizaje: una revisión de alcance. Education Technological Research Development, 70, 363-395. https://doi.org/10.1007/s11423-022-10084-1 DOI: https://doi.org/10.1007/s11423-022-10084-1

Viteri Terán, F. S. (2023). Whatsapp como herramienta de microlearning en el proceso de enseñanza aprendizaje en educación básica superior (Doctoral dissertation, Master’s Thesis]. Ecuador. http://repositorio.utn.edu.ec/handle/123456789/13466

Zhang, J. y West, (2020) RE Diseño de instrucción de microaprendizaje para el desarrollo profesional a través de un enfoque basado en competencias. Springer Nature in TechTrends, 64(2), 310-318. https://doi.org/10.1007/s11528-019-00449-4 DOI: https://doi.org/10.1007/s11528-019-00449-4

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Published

2025-04-21

How to Cite

Zambrano Verdesoto, G. J., & Caicedo, M. F. (2025). The Importance of Microlearning in Higher Education. European Public & Social Innovation Review, 10, 1–14. https://doi.org/10.31637/epsir-2025-2075

Issue

Vol. 10 (2025)

Section

Education

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Copyright (c) 2025 German Jazmany Zambrano Verdesoto, María Fernanda Caicedo

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