Características del Diseño de Estrategias de microaprendizaje en escenarios educativosrevisión sistemática

  1. Viviana Betancur-Chicué 1
  2. Ana García-Valcárcel Muñoz-Repiso 1
  1. 1 Universidad de Salamanca, España
Revista:
RIED: revista iberoamericana de educación a distancia

ISSN: 1138-2783

Año de publicación: 2023

Título del ejemplar: Competencias y metodologías innovadoras para la educación digital

Volumen: 26

Número: 1

Páginas: 201-222

Tipo: Artículo

DOI: 10.5944/RIED.26.1.34056 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: RIED: revista iberoamericana de educación a distancia

Resumen

El microaprendizaje (MA) como estrategia de formación ha sido utilizado en diferentes ámbitos por el formato que ofrece basado en contenidos de corta duración dispuestos en una ruta de aprendizaje adaptable a necesidad particular. El artículo realiza una revisión de la literatura para identificar las principales ventajas y desventajas del uso del MA, las características de diseño que prevalece en el desarrollo de contenidos con este formato y las áreas de conocimiento en las que mayor incidencia ha tenido. Para esto, se utiliza una metodología de revisión sistemática de la literatura, cuyo protocolo establece una delimitación a investigaciones entre 2018 y 2021, identificadas a través Scopus y Web of Science, seleccionadas con base en las preguntas de investigación. Se concluye que entre las principales ventajas del MA se encuentra el proporcionar una estrategia ágil para la formación profesional, útil en el desarrollo de temáticas introductorias o básicas y capaz de reducir la carga cognitiva. Como principal desventaja se destaca su limitado aporte al desarrollo de temáticas o habilidades de mayor complejidad, y la carencia de estrategias de interacción entre pares. De los estudios seleccionados, las áreas de conocimiento que han explorado en mayor medida el MA han sido salud, educación e ingeniería (ciencias de la computación). Finalmente, en cuanto a las características de diseño que prevalecen en el desarrollo de contenidos de MA se destaca una estructura basada en introducción, microcontenido y preguntas, dando especial relevancia al uso del video educativo.

Referencias bibliográficas

  • Allela, M. A. (2021). Introduction to Microlearning Course. Commonwealth of Learning. Canadá. https://oasis.col.org/colserver/api/core/bitstreams/07d80b84-b502-4ed4-8f9f-1504d4613084/content
  • Allela, M. A., Ogange, B. O., Junaid, M. I., y Charles, P. B. (2020). Effectiveness of Multimodal Microlearning for In-Service Teacher Training. Journal of Learning for Development, 7(3), 384-398. https://doi.org/10.56059/jl4d.v7i3.387
  • Arnab, S., Walaszczyk, L., Lewis, M., Kernaghan-Andrews, S., Loizou, M., Masters, A., Calderwood, J., y Clarke, S. (2021). Designing Mini-Games as Micro-Learning Resources for Professional Development in Multi-Cultural Organisations. Electronic Journal of E-Learning: EJEL, 19(2), 44-58. https://doi.org/10.34190/ejel.19.2.2141
  • Bannister, J., Neve, M., y Kolanko, C. (2020). Increased Educational Reach through a Microlearning Approach: Can Higher Participation Translate to Improved Outcomes? Journal of European CME, 9(1), 1834761-1834761. https://doi.org/10.1080/21614083.2020.1834761
  • Chai-Arayalert, S., y Puttinaovarat, S. (2020). Designing Mangrove Ecology Self-Learning Application Based on a Micro-Learning Approach. International Journal of Emerging Technologies in Learning (IJET), 15(11), 29-41. https://doi.org/10.3991/ijet.v15i11.12585
  • Crespo Miguel, M., y Sánchez-Saus Laserna, M. M. (2020). Píldoras formativas para la mejora educativa universitaria: El caso del Trabajo de Fin de Grado en el Grado de Lingüística y Lenguas Aplicadas de la Universidad de Cádiz. Education in the Knowledge Society (EKS). https://doi.org/10.14201/eks.22370
  • De Medeiros, L. F., Kolbe Junior, A., y Moser, A. (2019). A Cognitive Assistant that Uses Small Talk in Tutoring Conversation. International Journal of Emerging Technologies in Learning, 14(11), 138-159. https://doi.org/10.3991/ijet.v14i11.10288
  • Díaz Redondo, R. P., Caeiro Rodríguez, M., López Escobar, J. J., y Fernández Vilas, A. (2020). Integrating micro-learning content in traditional e-learning platforms. Multimedia Tools and Applications, 80(2), 3121-3151. https://doi.org/10.1007/s11042-020-09523-z
  • Emerson, L. C., y Berge, Z. L. (2018). Microlearning: Knowledge management applications and competency-based training in the workplace. UMBC Faculty Collection. 10(2), 125-132. https://doi.org/10.34105/j.kmel.2018.10.008
  • Ferreira González, I., Urrútia, G., y Alonso-Coello, P. (2011). Revisiones sistemáticas y metaanálisis: Bases conceptuales e interpretación. Revista Española de Cardiología, 64(8), 688-696. https://doi.org/10.1016/j.recesp.2011.03.029
  • García-Peñalvo, F. J. (2022). Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura. Education in the Knowledge Society (EKS), 23, e28600-e28600. https://doi.org/10.14201/eks.28600
  • Gerbaudo, R., Gaspar, R., y Gonçalves Lins, R. (2021). Novel online video model for learning information technology based on micro learning and multimedia micro content. Education and Information Technologies, 26(5), 5637-5665. https://doi.org/10.1007/s10639-021-10537-9
  • Gkevrou, M., y Stamovlasis, D. (2022). Illustration of a Software-Aided Content Analysis Methodology Applied to Educational Research. Education Sciences, 12(5), 328. https://doi.org/10.3390/educsci12050328
  • Göschlberger, B., Brandstetter, C., y Dopler, F. (2019). Co-Creation of Micro-Content Types. IxD&A, 42, 93-110. https://doi.org/10.55612/s-5002-042-005
  • Govender, K. K., y Madden, M. (2020). The effectiveness of micro-learning in retail banking. South African Journal of Higher Education, 34(2), 74-94. https://doi.org/10.20853/34-2-3733
  • Gross, B., Rusin, L., Kiesewetter, J., Zottmann, J. M., Fischer, M. R., Prückner, S., y Zech, A. (2019). Microlearning for patient safety: Crew resource management training in 15-minutes. PLOS ONE, 14(3), e0213178. https://doi.org/10.1371/journal.pone.0213178
  • Hegerius, A., Caduff-Janosa, P., Savage, R., y Ellenius, J. (2020). E‑Learning in Pharmacovigilance: An Evaluation of Microlearning‑Based Modules Developed by Uppsala Monitoring Centre. Drug Safety: An International Journal of Medical Toxicology and Drug Experience, 43(11), 1171-1180. https://doi.org/10.1007/s40264-020-00981-w
  • Heydari, S., Adibi, P., Omid, A., y Yamani, N. (2019). Preferences of the medical faculty members for electronic faculty development programs (e-FDP): A qualitative study. Advances in Medical Education and Practice, 10, 515-526. https://doi.org/10.2147/AMEP.S205306
  • Isba, R., Rousseva, C., Woolf, K., y Byrne-Davis, L. (2020). Development of a brief learning environment measure for use in healthcare professions education: The Healthcare Education Micro Learning Environment Measure (HEMLEM). BMC Medical Education, 20(1), 110-110. https://doi.org/10.1186/s12909-020-01996-8
  • Jahnke, I., Lee, Y.-M., Pham, M., He, H., y Austin, L. (2020). Unpacking the Inherent Design Principles of Mobile Microlearning. Technology, Knowledge and Learning, 25(3), 585-619. https://doi.org/10.1007/s10758-019-09413-w
  • Lee, Y.-M., Jahnke, I., y Austin, L. (2021). Mobile microlearning design and effects on learning efficacy and learner experience. Educational Technology Research and Development, 69(2), 885-915. https://doi.org/10.1007/s11423-020-09931-w
  • Monturo, C. A., y Brockway, C. (2019). Micro-Learning: An Innovative Strategy to Cultivate a Spirit of Inquiry, Step Zero. Worldviews on Evidence-Based Nursing, 16(5), 416-417. https://doi.org/10.1111/wvn.12373
  • Nikou, S. A., y Economides, A. A. (2018). Mobile-Based micro-Learning and Assessment: Impact on learning performance and motivation of high school students. Journal of Computer Assisted Learning, 34(3), 269-278. https://doi.org/10.1111/jcal.12240
  • Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372(71). https://doi.org/10.1136/bmj.n71
  • Palmon, I., Brown, C. S., Highet, A., Kulick, A. A., Barrett, M. E., Cassidy, D. E., Herman, A. E., Gomez-Rexrode, A. E., O’Reggio, R., Sonnenday, C., Waits, S. A., y Wakam, G. K. (2021). Microlearning and Social Media: A Novel Approach to Video-Based Learning and Surgical Education. Journal of Graduate Medical Education, 13(3), 323-326. https://doi.org/10.4300/JGME-D-20-01562.1
  • Park, Y., y Kim, Y. (2018). A design and Development of micro-Learning Content in e-Learning System. International Journal on Advanced Science, Engineering and Information Technology, 8(1), 56-61. https://doi.org/10.18517/ijaseit.8.1.2698
  • Prior Filipe, H., Paton, M., Tipping, J., Schneeweiss, S., y Mack, H. G. (2020). Microlearning to improve CPD learning objectives. The Clinical Teacher, 17(6), 695-699. https://doi.org/10.1111/tct.13208
  • Puah, S., Bin Mohmad Khalid, M. I. S., Looi, C. K., y Khor, E. T. (2022). Investigating working adults’ intentions to participate in microlearning using the decomposed theory of planned behaviour. British Journal of Educational Technology, 53(2), 367-390. https://doi.org/10.1111/bjet.13170
  • Qian, Q., Yan, Y., Xue, F., Lin, J., Zhang, F., y Zhao, J. (2021). Coronavirus Disease 2019 (COVID-19) Learning Online: A Flipped Classroom Based on Micro-Learning Combined with Case-Based Learning in Undergraduate Medical Students. Advances in Medical Education and Practice, 12, 835-842. https://doi.org/10.2147/AMEP.S294980
  • Shail, M. S. (2019). Using Micro-learning on Mobile Applications to Increase Knowledge Retention and Work Performance: A Review of Literature. Curēus (Palo Alto, CA), 11(8), e5307-e5307. https://doi.org/10.7759/cureus.5307
  • Skalka, J., y Drlik, M. (2020). Automated Assessment and Microlearning Units as Predictors of At-Risk Students and Students’ Outcomes in the Introductory Programming Courses. Applied Sciences, 10(13), 4566. https://doi.org/10.3390/app10134566
  • Skalka, J., Drlik, M., Benko, L., Kapusta, J., Rodríguez del Pino, J. C., Smyrnova-Trybulska, E., Stolinska, A., Svec, P., y Turcinek, P. (2021). Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment. Sustainability (Basel, Switzerland), 13(6), 3293-. https://doi.org/10.3390/su13063293
  • Sommer, M., Ritzhaupt, A. D., Muller, K. E., y Glueck, D. H. (2019). Transformation of a Face-to-Face Workshop into a Massive Open Online Course (MOOC): A Design and Development Case. Journal of Formative Design in Learning, 3(2), 97-110. https://doi.org/10.1007/s41686-019-00037-y
  • Sun, G., Cui, T., Yong, J., Shen, J., y Chen, S. (2018). MLaaS: A Cloud-Based System for Delivering Adaptive Micro Learning in Mobile MOOC Learning. IEEE Transactions on Services Computing, 11(2), 292-305. https://doi.org/10.1109/TSC.2015.2473854
  • Tennyson, C. D., Smallheer, B. A., y De Gagne, J. C. (2022). Microlearning Strategies in Nurse Practitioner Education. Nurse Educator, 47(1), 2-3. https://doi.org/10.1097/NNE.0000000000001083
  • Triana, A. J., White-Dzuro, C. G., Siktberg, J., Fowler, B. D., y Miller, B. (2021). Quiz-Based Microlearning at Scale: A Rapid Educational Response to COVID-19. Medical Science Educator, 31(6), 1731-1733. https://doi.org/10.1007/s40670-021-01406-8
  • Wang, T., Towey, D., Ng, R. Y., y Gill, A. S. (2021). Towards Post-pandemic Transformative Teaching and Learning: Case Studies of Microlearning Implementations in two Post-secondary Educational Institutions. SN Computer Science, 2(4), 271-271. https://doi.org/10.1007/s42979-021-00663-z
  • Zarshenas, L., Saranjam, E., Mehrabi, M., y Setoodeh, G. (2020). Microlearning and Gamification in Anxiety Management among girl adolescents in Iran: An interventional study. Pak. J. Med. Health Sci, 2020
  • Zhang, J., y West, R. E. (2019). Designing Microlearning Instruction for Professional Development Through a Competency Based Approach. TechTrends, 64(2), 310-318. https://doi.org/10.1007/s11528-019-00449-4
  • Zheng, Y. (2021). Research on Data Retrieval Algorithm of English Microlearning Teaching Based on Wireless Network Information Classification. Journal of Sensors, 2021, 1-10. https://doi.org/10.1155/2021/4485965