Mobile microlearning with repeated short video access: Effects on vocational skill retention

Authors

DOI:

https://doi.org/10.21831/jpv.v15i3.95712

Keywords:

cognitive load, mobile microlearning, procedural performance, standard operating procedure-based video, vocational skill retention

Abstract

This study examined whether mobile microlearning that enabled repeated access to short, SOP-anchored instructional videos improved vocational skill retention compared with conventional practice instruction. A quasi-experimental pretest–posttest–delayed posttest design was implemented with 80 undergraduate students in a practice-based course (experimental n = 40; control n = 40). The experimental group learned through segmented microlearning videos (2–6 minutes) aligned with procedural steps, safety checkpoints, and quality criteria, accessible via mobile devices for rewatching before and after workshop practice. The control group received conventional instruction through instructor demonstration and job-sheet guidance without structured video re-access. Data were collected using a validated SOP-aligned practical performance rubric, a procedural knowledge test, and an observation sheet documenting procedural errors and task completion time; perceived cognitive load was measured using a brief rating scale. Content validity was established through expert judgment and instrument refinement, and reliability was supported through inter-rater agreement for performance scoring and internal consistency for test and scale measures. Data were analyzed using descriptive statistics, Shapiro–Wilk normality tests, Levene’s homogeneity tests, and independent-samples t-tests to compare groups at pretest (baseline equivalence), posttest (immediate outcomes), and delayed posttest (retention outcomes). The results indicated that the experimental group achieved significantly higher delayed practical performance and procedural knowledge than the control group, with fewer procedural errors and faster completion time. These findings suggest that rewatchable SOP-based mobile microlearning can strengthen durable procedural competence in vocational practice settings. This study contributes empirical evidence to vocational education literature by demonstrating that structured, rewatchable SOP-based microlearning enhances durable procedural competence.

Author Biography

Rochmad Novian Inderanata, Graduate School of Technology and Vocational Education, Yogyakarta State University

Rochmad Novian Inderanata obtained a Bachelor's degree from Mechanical Engineering at the Muhammadiyah University of Yogyakarta in 2013, and a Masters in Education from Mechanical Engineering Education at Yogyakarta State University in 2020, then is continuing his doctoral program in Technology and Vocational Education at Yogyakarta State University. Rochmad Novian Inderanata is currently completing a dissertation, with the topic of 21st Century learning that uses technology, especially in the engineering field

References

Agarwal, P. K., Nunes, L. D., & Blunt, J. R. (2021). Retrieval practice consistently benefits student learning: A systematic review of applied research in schools and classrooms. Educational Psychology Review, 33(4), 1409-1453. https://doi.org/10.1007/s10648-021-09595-9

Beege, M., Schroeder, N. L., Heidig, S., Rey, G. D., & Schneider, S. (2023). The instructor presence effect and its moderators in instructional video: A series of meta-analyses. Educational Research Review, 41. https://doi.org/10.1016/j.edurev.2023.100564

Bego, C. R., Lyle, K. B., Ralston, P. A., Immekus, J. C., Chastain, R. J., Haynes, L. D., ... & Starr, T. L. (2024). Single-paper meta-analyses of the effects of spaced retrieval practice in nine introductory STEM courses: is the glass half full or half empty?. International Journal of STEM Education, 11(1). https://doi.org/10.1186/s40594-024-00468-5

Biard, N., Cojean, S., & Jamet, E. (2018). Effects of segmentation and pacing on procedural learning by video. Computers in Human Behavior, 89, 411-417. https://doi.org/10.1016/j.chb.2017.12.002

Carpenter, C. W., Lotspeich-Yadao, M. C., & Tolbert, C. M. (2022). When to use commuting zones? An empirical description of spatial autocorrelation in US counties versus commuting zones. PloS one, 17(7), e0270303. https://doi.org/10.1371/journal.pone.0270303

Corral, D., & Carpenter, S. K. (2025). Effects of retrieval practice on retention and application of complex educational concepts. Learning and Instruction, 100, 102219. https://doi.org/10.1016/j.learninstruc.2025.102219

Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public interest, 14(1), 4-58. https://doi.org/10.1177/1529100612453266

Fan, E., Bower, M., & Siemon, J. (2025). Comparing cognitive load during video versus traditional classroom instruction based on heart-rate variability measures. Computers & Education, 105487. https://doi.org/10.1016/j.compedu.2025.105487

Fiorella, L., & Mayer, R. E. (2018). What works and doesn't work with instructional video. Computers in Human Behavior, 89, 465-470. https://doi.org/10.1016/j.chb.2018.07.015

Fiorella, L., Stull, A. T., Kuhlmann, S., & Mayer, R. E. (2020). Fostering generative learning from video lessons: Benefits of instructor-generated drawings and learner-generated explanations. Journal of Educational Psychology, 112(5), 895. https://doi.org/10.1037/edu0000408

Fyfield, M., Henderson, M., & Phillips, M. (2022). Improving instructional video design: A systematic review. Australasian Journal of Educational Technology, 38(3), 155-183. https://doi.org/10.14742/ajet.7296

Latimier, A., Peyre, H., & Ramus, F. (2021). A meta-analytic review of the benefit of spacing out retrieval practice episodes on retention. Educational Psychology Review, 33(3), 959-987. https://doi.org/10.1007/s10648-020-09572-8

Lee, Y. M. (2023). Mobile microlearning: a systematic literature review and its implications. Interactive Learning Environments, 31(7), 4636-4651. https://doi.org/10.1080/10494820.2021.1977964

Lee, Y. M., Jahnke, I., & 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

Mawson, R. D., & Kang, S. H. (2025). The distributed practice effect on classroom learning: A meta-analytic review of applied research. Behavioral Sciences, 15(6), 771. https://doi.org/10.3390/bs15060771

Mayer, R. E. (2024). The past, present, and future of the cognitive theory of multimedia learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1

Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38(1), 43-52. https://doi.org/10.1207/S15326985EP3801_6

Merkt, M., & Bodemer, D. (2024). Learning with videos: Do task instructions and the availability of a pause button matter?. Journal of Computer Assisted Learning, 40(6), 2856-2871. https://doi.org/10.1111/jcal.13044

Monib, W. K., Qazi, A., & Apong, R. A. (2025). Microlearning beyond boundaries: A systematic review and a novel framework for improving learning outcomes. Heliyon, 11(2). https://doi.org/10.1016/j.heliyon.2024.e41413

Moore, T. E., Bagchi, R., Aiello‐Lammens, M. E., & Schlichting, C. D. (2018). Spatial autocorrelation inflates niche breadth–range size relationships. Global Ecology and Biogeography, 27(12), 1426-1436. https://doi.org/10.1111/geb.12818

Moreira, B. F. T., Pinto, T. S. S., Starling, D. S. V., & Jaeger, A. (2019, February). Retrieval practice in classroom settings: A review of applied research. In Frontiers in Education (Vol. 4, p. 5). Frontiers Media SA. https://doi.org/10.3389/feduc.2019.00005

Polat, H. (2023). Instructors’ presence in instructional videos: A systematic review. Education and information technologies, 28(7), 8537-8569. https://doi.org/10.1007/s10639-022-11532-4

Rodemer, M., Lindner, M. A., Eckhard, J., Graulich, N., & Bernholt, S. (2022). Dynamic signals in instructional videos support students to navigate through complex representations: An eye‐tracking study. Applied Cognitive Psychology, 36(4), 852-863. https://doi.org/10.1002/acp.3973

Rof, A., Bikfalvi, A., & Marques, P. (2024). Exploring learner satisfaction and the effectiveness of microlearning in higher education. The Internet and Higher Education, 62, 100952. https://doi.org/10.1016/j.iheduc.2024.100952

Schneider, S., Beege, M., Nebel, S., & Rey, G. D. (2018). A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, 1-24. https://doi.org/10.1016/j.edurev.2017.11.001

Tannert, S., Eitel, A., Marder, J., Seidel, T., Renkl, A., & Glogger-Frey, I. (2023, January). How can signaling in authentic classroom videos support reasoning on how to induce learning strategies?. In Frontiers in Education (Vol. 8, p. 974696). Frontiers Media SA. https://doi.org/10.3389/feduc.2023.974696

Downloads

Published

2026-03-12

How to Cite

Sudira, P., Inderanata, R. N., Widodo, S., Wagiran, W., & Aryani, S. T. (2026). Mobile microlearning with repeated short video access: Effects on vocational skill retention. Jurnal Pendidikan Vokasi, 15(3), 299–308. https://doi.org/10.21831/jpv.v15i3.95712

Issue

Section

Articles

Citation Check

Most read articles by the same author(s)

1 2 3 > >> 

Similar Articles

<< < 4 5 6 7 8 9 10 11 12 13 > >> 

You may also start an advanced similarity search for this article.