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Sinéctica
versión On-line ISSN 2007-7033versión impresa ISSN 1665-109X
Resumen
MEJIA SIERRA, Mayra Yadira; ESCUDERO-NAHON, Alexandro y CHAPARRO SANCHEZ, Ricardo. Trends in game learning analytics: A systematic review of the specialized literature. Sinéctica [online]. 2022, n.58, e1313. Epub 23-Mayo-2022. ISSN 2007-7033. https://doi.org/10.31391/s2007-7033(2022)0058-006.
A systematic review of the specialized literature was carried out with the meta-synthesis method to know the theoretical and empirical trends that can be found in the scientific literature about 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 in design, validation, and implementation trends. The design findings suggest a tendency to simulate real environments to validate, not only serious play, 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, predesigned games and author’s games with individual interactions were used.
Palabras llave : game learning analytics; design; validation; implementation; systematic review.