Video-blogs (Vlogs)-based Project: A Meta Analysis
This study aims to analyze the relationship between using video-blogs (vlogs)-based projects on student academic achievement through project-based learning. This study applied a meta-analysis through comprehensive sources, either from the international or the Indonesian index by considering certain criteria. The data sources in this research were obtained from twenty-seven studies that had met the inclusion criteria. The inclusion criteria used are 1) research published in 2020-2024; 2) research must be obtained from the Google Scholar database; ScienceDirect; ERIC; Wiley and IEEE; 3) Publications indexed by SINTA, Scopus, and Web of Science; 4) publications must be related to Vlog-based project; 5) the research has a value (R); (t) or (f) and 6) sample size (N) ≥ 30 students. The study showed that the Vlog-based project significantly influenced students' academic achievement (z = 8,042; p < 0.001; CI 95 % [ 0.526; 0.962]. The effect size in this study is a high effect size category (rRE = 1,024). In this meta-analysis, the data presented is accurate, valid, and representative, free from publication bias. This finding explains that V-logs-based project-based learning positively affects students' academic achievement. This study shows that using Vlogs-based projects has a positive impact on students' academic achievement, and it encourages teachers to enhance students' academic performance. Furthermore, the Vlogs-based project motivates students to engage more actively and creatively with the learning materials.
Authors
- Tomi Apra Santosa
- Lise Asnur (ORCID: https://orcid.org/0000-0003-4310-3459)
- Nizwardi Jalinus (ORCID: https://orcid.org/0000-0002-6995-1897)
- Anni Faridah (ORCID: https://orcid.org/0000-0003-4561-6645)
- RD. Ambiyar
- Fadila Utami
Institutions
- State University of Padang (ID)
- University of Technology Malaysia (MY)
Publication Details
- Journal
- International Journal on Advanced Science Engineering and Information Technology
- Published
- 2024-10-21
- DOI
- https://doi.org/10.18517/ijaseit.14.5.16804
- Citations
- 3
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 1.24