Bibliometric Analysis of Studies on Nanolearning and Microlearning
Description
Gaining a clear understanding of publication trends and research themes helps researchers determine gaps in the existing literature and explore new areas of study. The objective of this current inquiry is to describe the research themes related to nanolearning and microlearning in general. The bibliometric method was employed using the Lens Scholarly Search Database from year 2020 to 2024. Additionally, “nanolearning” and “microlearning” were used as queries on the title, keyword, and abstract. Using the analysis from the database and VOSviewer, the publication-related metrics of the scholarly works were determined including the research themes, frequent keywords, and authors' collaboration. Results revealed that there is a growing trend in the use of nanolearning and microlearning in different subjects and contexts. Visualization analysis identified three (3) emergent research themes, namely: (1) the use of nanolearning and microlearning during the pandemic and post-pandemic period, (2) evaluation of the effectiveness of the approaches, and (3) applications and development of tools and strategies. Conversely, nanolearning remains an emerging area with a lower publication count in the analysis. Moreover, Indonesia and the United States are the leading countries in publications. Further, the study revealed active collaboration among authors. Lastly, it is recommended to explore nanolearning as a complementary approach to microlearning.
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Astaño, J.L. (2025). Bibliometric analysis of studies on nanolearning and microlearning. International Journal of Studies in Education and Science (IJSES).pdf
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References
- Aburizaizah, S., & Albaiz, T. A. (2021). Review of the Use and Impact of Nano-Learning in Education. 4th International Conference on Research in Education. https://www.dpublication.com/wp-content/uploads/2021/09/56-4146.pdf
- Aguilera-Hermida, A. P., Quiroga-Garza, A., Gómez-Mendoza, S., Del Río Villanueva, C. A., Avolio Alecchi, B., & 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
- Ali, A., Minaz, M., & Irshadullah, H. M. (2023). Teacher Support During Nano Learning Fascinate the Learning Experiences of Undergraduate Students: A Comparative Analysis. International Journal of Social Science Archives, 6(3), 68–76. https://ijssa.com/index.php/ijssa/article/view/176/113
- Azwati, I. M., Munir, M., & Muliati, A. (2024). Nano Learning Strategies in Enhancing Students Vocabulary. Performance: Journal of English Education and Literature, 3(3), 482–496. https://doi.org/10.26858/performance.v3i3.65591
- Bal, I. A., Duha, M. S. U., Arslan, O., Collier, J., Marcelle, P., Dolowitz, A., Bernhardt, J., Swanson, M., & Dash, M. (2023). The Theory of Learning in Micro: Context & Explanation. Theories to Influence the Future of Learning Design and Technology: Theory Spotlight Competition 2022, 41–57. https://doi.org/10.59668/534.11963
- Carter, J. W., & Youssef-Morgan, C. (2022). Psychological capital development effectiveness of face-to-face, online, and Micro-learning interventions. Education and Information Technologies, 27, 6553–6575. https://doi.org/10.1007/s10639-021-10824-5
- Chamorro-Atalaya, O., Flores-Velásquez, C. H., Olivares-Zegarra, S., Dávila-Ignacio, C., Flores- Cáceres, R., Arévalo-Tuesta, J. A., Cruz-Telada, Y., & Suarez-Bazalar, R. (2024). Microlearning and Nanolearning in Higher Education: A Bibliometric Review to Identify Thematic Prevalence in the COVID-19 Pandemic and Post-Pandemic Context. International Journal of Learning, Teaching and Educational Research, 23(4), 279–297. https://doi.org/10.26803/ijlter.23.4.15
- Conde-Caballero, D., Castillo-Sarmiento, C. A., Ballesteros-Yánez, I., Rivero-Jiménez, B., & Mariano-Juárez, L. (2023). Microlearning through TikTok in Higher Education. An evaluation of uses and potentials. Education and Information Technologies, 29, 2365–2385. https://doi.org/10.1007/s10639-023-11904-4
- Corbeil, J. R., Tufan, D., & Corbeil, M. E. (2023). The effect of microlearning and multimedia design on knowledge and skills acquisition of students in e-courses. Issues in Information Systems, 24(1), 342–355. https://doi.org/10.48009/1_iis_2023_129
- Dokukina, I., & Gumanova, J. (2020). The rise of chatbots – new personal assistants in foreign language learning. Procedia Computer Science, 169, 542–546. https://doi.org/10.1016/j.procs.2020.02.212
- Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
- Fidan, M. (2023). The effects of microlearning-supported flipped classroom on pre-service teachers' learning performance, motivation and engagement. Education and Information Technologies, 28, 12687–12714. https://doi.org/10.1007/s10639-023-11639-2
- Garcia, M. B., Juanatas, I. C., & Juanatas, R. A. (2022). TikTok as a Knowledge Source for Programming Learners: A New Form of Nanolearning? 2022 10th International Conference on Information and Education Technology (ICIET), 219–223. https://doi.org/10.1109/ICIET55102.2022.9779004
- Hallinger, P., & Kovačević, J. (2023). Applying bibliometric review methods in education: rationale, definitions, analytical techniques, and illustrations. In International Encyclopedia of Education: Fourth Edition, 546–556. Elsevier. https://doi.org/10.1016/b978-0-12-818630-5.05070-3
- Kayalar, F. (2021). Features and Applications of Nano-learning Model. International Academic Social Resources Journal, 6(32), 1922–1927. https://doi.org/10.31569/asrjournal.414
- Khlaif, Z. N., & Salha, S. (2021). Using TikTok in Education: A Form of Micro-learning or Nano-learning? Interdisciplinary Journal of Virtual Learning in Medical Sciences, 12(3), 213–218. https://doi.org/10.30476/ijvlms.2021.90211.1087
- Kumar, S. (2015). Co-authorship networks: a review of the literature. Aslib Journal of Information Management, 67(1), 55–73. https://doi.org/10.1108/ajim-09-2014-0116
- Lens.org. (n.d.). What is The Lens. Lens About. Retrieved January 20, 2025, from https://about.lens.org/what/
- Leong, K., Sung, A., Au, D., & Blanchard, C. (2020). A Review of the Trend of Microlearning. Journal of Work-Applied Management, 13(1), 88–102. https://doi.org/10.1108/jwam-10- 2020-0044
- Mochamad, R. (2024). Microlearning: A Bibliometric Analysis of Research Trends from 2002 to 2023. Journal of Computers for Science and Mathematics Learning, 1(1), 14–26. https://doi.org/10.70232/x6ybph70
- Monib, W. K., Qazi, A., & Apong, R. A. (2024). Mapping microlearning development and trends across diverse contexts: a bibliometric analysis (2007–2023). Interactive Learning Environments, 1–46. https://doi.org/10.1080/10494820.2024.2402556
- Mostrady, A., Sanchez-Lopez, E., & Gonzalez-Sanchez, A. F. (2024). Microlearning and its Effectiveness in Modern Education: A Mini Review. Acta Pedagogia Asiana, 4(1), 33–42. https://doi.org/10.53623/apga.v4i1.496
- Nanjappa, S., Acharya, S., Subramanyam, V., & Mukerjee, H. S. (2022). Micro and Nano Learning Paradigms in Corporates – Business Imperatives. In Infosys.com. https://www.infosys.com/products-and-platforms/wingspan/insights/documents/micro- nano-learning-paradigms.pdf
- Prandini, M., & Ficarelli, P. P. (2021). Effectiveness of Hybrid Micro-Learning for Financial Education of Filipino Women Migrants in Italy. Journal of Public Affairs and Development, 8, 67–95. https://ovcre.uplb.edu.ph/journals- uplb/index.php/JPAD/article/view/819
- Rickardsson, J., Gentili, C., Holmström, L., Zetterqvist, V., Andersson, E., Persson, J., Lekander, M., Ljótsson, B., & Wicksell, R. K. (2021). Internet‐delivered acceptance and commitment therapy as microlearning for chronic pain: A randomized controlled trial with 1‐year follow‐up. European Journal of Pain, 5(5), 1012–1030. https://doi.org/10.1002/ejp.1723
- 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
- Skalka, J., & 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), 1–24. 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., & Turcinek, P. (2021). Conceptual Framework for Programming Skills Development Based on Microlearning and Automated Source Code Evaluation in Virtual Learning Environment. Sustainability, 13(6), 1–30. 3293. https://doi.org/10.3390/su13063293
- Springer. (2024). About Springer. https://www.springer.com/gp/about-springer
- Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive Load Theory. Springer New York. https://doi.org/10.1007/978-1-4419-8126-4
- Texas A&M University Libraries. (2024). Research Guides: Converting Selected Citations into a RIS File. Research Guides. https://tamu.libguides.com/c.php?g=1248112
- Wang, T., Towey, D., Ng, R. Y., & Gill, A. S. (2021). Towards Post-pandemic Transformative Teaching and Learning. SN Computer Science, 2(Article Number 271), 270–271. https://doi.org/10.1007/s42979-021-00663-z
- Wilder, E. I., & Walters, W. H. (2021). Using Conventional Bibliographic Databases for Social Science Research: Web of Science and Scopus are not the Only Options. Scholarly Assessment Reports, 3(1), 1–7. https://doi.org/10.29024/sar.36
- Yousef, A. M., Huang, R., Tlili, A., Garcia, M. B., Mahmoud, S. A., & Metwally, A. H. S. (2023). Small Bites, Big Impact: The Power of Nanolearning. 7th International Conference on Smart Learning Environments, 108–116. https://doi.org/10.1007/978-981- 99-5961-7_12
- Zarshenas, L., Mehrabi, M., karamdar, L., Keshavarzi, M. H., & keshtkaran, Z. (2022). The effect of micro-learning on learning and self-efficacy of nursing students: an interventional study. BMC Medical Education, 22(Article Number 664), 1–6. https://doi.org/10.1186/s12909-022-03726-8