Microlearning in the Digital Era: Educational Technology Strategies for a Generation with Short Attention Spans
DOI:
https://doi.org/10.62872/ckkkjv41Keywords:
Content-Based Learning, Digital Platforms, Social Media, Educational Transformation, Learning ResourcesAbstract
The shortening of human attention spans in the digital age—particularly among Generation Z and Generation Alpha—presents significant challenges to traditional instructional models that rely on extended, sustained engagement. Microlearning, defined as the delivery of educational content in short, focused, and modular units, has emerged as a strategically aligned response to this cognitive reality. This study conducts a systematic literature review of 20 peer-reviewed publications from 2021 to 2024, examining the theoretical foundations, practical implementations, technological enablers, and measurable outcomes of microlearning in digital educational contexts. Findings indicate that microlearning consistently improves knowledge retention, learner motivation, and self-directed learning when designed according to cognitive load theory and spaced repetition principles. Digital platforms—including TikTok, mobile LMS applications, AI-powered chatbots, and gamified environments—serve as effective delivery mechanisms for microlearning content. However, challenges including fragmentation of deep learning, over-reliance on passive consumption, and assessment validity require careful pedagogical consideration. The study concludes with a proposed framework for effective microlearning design in digital educational technology contexts.
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Aguilera-Hermida, A., Quiroga-Garza, A., Gómez-Mendoza, S., Del Río Villanueva, C. A., Alecchi, B. A., & Avci, D. (2021). Comparison of students' use and acceptance of emergency online learning due to COVID-19 in the USA, Mexico, Peru, and Turkey. Education and Information Technologies, 26, 6823–6845. https://doi.org/10.1007/s10639-021-10473-8
Ahsan, K., Akbar, S., Kam, B., & Abdulrahman, M. (2023). Implementation of micro-credentials in higher education: A systematic literature review. Education and Information Technologies, 28, 13505–13540. https://doi.org/10.1007/s10639-023-11739-z
Alshammary, F. M., & Alhalafawy, W. S. (2023). Digital platforms and the improvement of learning outcomes: Evidence extracted from meta-analysis. Sustainability, 15(2), 1305. https://doi.org/10.3390/su15021305
Conde-Caballero, D., Castillo-Sarmiento, C., Ballesteros-Yáñez, I., Rivero-Jiménez, B., & Mariano-Juárez, L. (2023). Microlearning through TikTok in higher education: An evaluation of uses and potentials. Education and Information Technologies, 1–21. https://doi.org/10.1007/s10639-023-11904-4
Fidan, M. (2023). The effects of microlearning-supported flipped classroom on pre-service teachers' learning performance, motivation and engagement. Education and Information Technologies, 1–28. https://doi.org/10.1007/s10639-023-11639-2
Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers. https://doi.org/10.1016/j.susoc.2022.05.004
Kaimara, P., Fokides, E., Oikonomou, A., & Deliyannis, I. (2021). Potential barriers to the implementation of digital game-based learning in the classroom: Pre-service teachers' views. Technology, Knowledge and Learning, 26, 825–844. https://doi.org/10.1007/s10758-021-09512-7
Koumpouros, Y. (2024). Revealing the true potential and prospects of augmented reality in education. Smart Learning Environments, 11. https://doi.org/10.1186/s40561-023-00288-0
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28, 973–1018. https://doi.org/10.1007/s10639-022-11177-3
Lee, Y.-M. (2021). Mobile microlearning: A systematic literature review and its implications. Interactive Learning Environments, 31, 4636–4651. https://doi.org/10.1080/10494820.2021.1977964
Monib, W. K., Qazi, A., & Apong, R. (2024). Microlearning beyond boundaries: A systematic review and a novel framework for improving learning outcomes. Heliyon, 11. https://doi.org/10.1016/j.heliyon.2024.e41413
Morris, T., & Rohs, M. (2021). The potential for digital technology to support self-directed learning in formal education of children: A scoping review. Interactive Learning Environments, 31, 1974–1987. https://doi.org/10.1080/10494820.2020.1870501
Nkomo, L., Daniel, B., & Butson, R. (2021). Synthesis of student engagement with digital technologies: A systematic review of the literature. International Journal of Educational Technology in Higher Education, 18. https://doi.org/10.1186/s41239-021-00270-1
Rong, W., & Yu, Z. (2023). Do AI chatbots improve students' learning outcomes? Evidence from a meta-analysis. British Journal of Educational Technology, 55, 10–33. https://doi.org/10.1111/bjet.13334
Sankaranarayanan, R., Leung, J., Abramenka-Lachheb, V., Seo, G., & Lachheb, A. (2022). Microlearning in diverse contexts: A bibliometric analysis. Techtrends, 67, 260–276. https://doi.org/10.1007/s11528-022-00794-x
Skulmowski, A., & Xu, K. (2021). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational Psychology Review, 34, 171–196. https://doi.org/10.1007/s10648-021-09624-7
Taylor, A., & Hung, W. (2022). The effects of microlearning: A scoping review. Educational Technology Research and Development, 70, 363–395. https://doi.org/10.1007/s11423-022-10084-1
Wang, C., Chen, X., Yu, T., Liu, Y., & Jing, Y. (2024). Education reform and change driven by digital technology: A bibliometric study from a global perspective. Humanities and Social Sciences Communications, 11, 1–17. https://doi.org/10.1057/s41599-024-02717-y
Wang, C., Dai, J., Zhu, K., Yu, T., & Gu, X. (2023). Understanding the continuance intention of college students toward new e-learning spaces based on an integrated model of the TAM and TTF. International Journal of Human–Computer Interaction, 40, 8419–8432. https://doi.org/10.1080/10447318.2023.2291609
Zhang, W., Guan, Y., & Hu, Z. (2024). The efficacy of project-based learning in enhancing computational thinking among students: A meta-analysis of 31 experiments and quasi-experiments. Education and Information Technologies, 29, 14513–14545. https://doi.org/10.1007/s10639-023-12392-2
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.





