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Two Decades of Microlearning in Education: A Bibliometric Exploration Dewi, Fitrika Kumala; Irfan, Dedy; Effendi, Hansi; Mulya, Rudi; Dicky Putra, Metria; Mulia, Denal
Jurnal Ilmiah Pendidikan dan Pembelajaran Vol. 9 No. 1 (2025): March
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jipp.v9i1.90826

Abstract

Microlearning has shown positive effects, but there is still a lack of specific mapping of this topic. This creates an empirical gap that requires a scientific procedure to overcome it. Therefore, a bibliometric analysis was conducted that reviewed several previous publications related to microlearning in education, especially over the past twenty years, to fill this gap. Through a specific search, there were 127 documents published from 2005-2024 sourced from Scopus metadata. The data obtained were analyzed using Biblioshiny, R Studio, and VOSviewer software. The results of the analysis show that microlearning continues to grow from year to year; a significant increase occurred in 2020, which indicates the application of this method due to the COVID-19 pandemic. In addition, the country that publishes the most microlearning in education is China. Then, through keyword analysis, microlearning is closely related to technology platforms and systems in learning. The findings produced through this paper are expected to be used as a reference for readers who want to directly find publication trends on this topic without having to read relevant articles one by one. In conclusion, interest in microlearning continues to increase, with significant contributions from various countries and institutions. The implication is that this study reveals the trends, developments, and directions of microlearning research in the last two decades, which can be a strategic basis for curriculum development and educational innovation in the future.
Vector Learning in Vocational and Engineering Education: A Systematic Review, Narrative Synthesis, and Limited Meta-Analysis Using JASP Mulia, Denal; Fadhilah; Irfan, Dedy
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12929

Abstract

Vector learning is a fundamental component of physics and engineering but is often perceived as difficult due to its abstract concepts. This study aims to map publication trends, instructional models, and the effectiveness of vector learning from 2016 to 2025 through a systematic literature review and limited meta-analysis. Twenty-one articles from Scopus, Sinta 1–2, and DOAJ were analyzed using the PRISMA protocol. Seven quantitative studies were synthesized through meta-analysis using JASP, while fourteen were reviewed narratively. The findings show a steady increase in publications, with notable peaks in 2018 and 2020. Problem-based learning and augmented reality emerged as the most widely implemented instructional approaches. The pooled effect size indicates a large impact (d = 1.01), with augmented reality (d = 0.74) and blended learning (d = 0.62) showing high effectiveness. Narrative synthesis highlights conceptual difficulties, ongoing media innovation, and the development of supporting teaching materials. The study concludes that vector learning research remains active but requires further exploration in AI integration, web-based gamification, and long-term retention assessment.