Trends in game learning analysis: A systematical review of the expert literature

Autor: Mayra Yadira Mejía Sierra, Alexandro Escudero-Nahón, Ricardo Chaparro Sánchez
Rok vydání: 2022
Zdroj: Metaverse. 3:9
ISSN: 2810-9791
Popis: This article presents a systematic review of the specialized literature using the meta-synthesis method to learn about the theoretical and empirical trends that can be found in the scientific literature on game learning analytics. The search was carried out in 17 databases and 153 results were obtained. After applying certain exclusion criteria, 17 scientific research articles were admitted for analysis. The information was classified into design, validation and implementation trends. The design findings suggest a tendency to simulate real environments with the aim of validating not only the serious game, but also the learning obtained by applying pre- and post-test measurements. A varied implementation was observed between educational purposes, training or support for people with disabilities. Likewise, pre-designed games and author’s games with individual interactions were used.
Databáze: OpenAIRE