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Fadhilah
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Physics Social Sciences Other

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Vector Learning in Vocational and Engineering Education: A Systematic Review, Narrative Synthesis, and Limited Meta-Analysis Using JASP Denal Mulia; Fadhilah; Dedy Irfan
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.
Co-Authors Ambiyar, Ambiyar Asrul Huda Dedy Irfan Denal Mulia Desyandri Desyandri Desyandri Diana Gusti Alfiyanti Diana Gusti Alfiyanti Elvina Fahmi Rizal Farida Mayar Fauzana Azizah Fitria, Yanti Irdamurni Lika Jafnihirda Muskhir, Mukhlidi Neviyarni S Rezi Elsya Putra Rezi Rina Marlina Simatupang, Wakhinuddin Wakhimuddin Simatupang Yanti Fitria Yeka Hendriyani Yeni Erita Yeni Erita Yusrani Fitri Yusrani Fitri