Impact of Digital Game-Based Learning on STEM education in primary schools: a meta-analysis of learning approaches

Autor: Najmeh Behnamnia, Amirrudin Kamsin, Siavash Hayati
Jazyk: English<br />Spanish; Castilian
Rok vydání: 2024
Předmět:
Zdroj: Innoeduca, Vol 10, Iss 2 (2024)
Druh dokumentu: article
ISSN: 2444-2925
DOI: 10.24310/ijtei.102.2024.19694
Popis: Enhancing learning outcomes in Science, Technology, Engineering, and Mathematics (STEM) subjects for primary school students remains a challenge. This meta-analysis, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), explores Digital Game-Based Learning (DGBL) interventions as a potential solution. Eighteen empirical studies published from 2010 to 2020 were analyzed to identify effective DGBL approaches. Key factors examined include subject disciplines, control treatment, game type, platforms, and intervention duration. Findings reveal significant positive effects of DGBL interventions on learning outcomes, particularly in mathematics, language, and science. The study underscores the importance of optimizing gameplay design and platform choices for DGBL effectiveness and highlights the potential benefits of incorporating DGBL into primary STEM education. Future research should further investigate contributing factors like game genres, technologies, implementation strategies, and specific game components to promote optimal learning processes in diverse educational settings.
Databáze: Directory of Open Access Journals