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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/7341

    Título
    A New Measure for Serious Games Evaluation: Gaming Educational Balanced (GEB) Model
    Autor
    Martínez García, KimAutoridad UBU Orcid
    Menéndez Menéndez, María IsabelAutoridad UBU Orcid
    Bustillo Iglesias, AndrésAutoridad UBU Orcid
    Publicado en
    Applied sciences. 2022, V. 12, n.22, 11757
    Editorial
    MDPI
    Fecha de publicación
    2022-11
    DOI
    10.3390/app122211757
    Resumen
    Serious games have to meet certain characteristics relating to gameplay and educational content to be effective as educational tools. There are some models that evaluate these aspects, but they usually lack a good balance between both ludic and learning requirements, and provide no guide for the design of new games. This study develops the Gaming Educational Balanced (GEB) Model which addresses these two limitations. GEB is based on the Mechanics, Dynamics and Aesthetics framework and the Four Pillars of Educational Games theory. This model defines a metric to evaluate serious games, which can also be followed to guide their subsequent development. This rubric is tested with three indie serious games developed using different genres to raise awareness of mental illnesses. This evaluation revealed two main issues: the three games returned good results for gameplay, but the application of educational content was deficient, due in all likelihood to the lack of expert educators participating in their development. A statistical and machine learning validation of the results is also performed to ensure that the GEB metric features are clearly explained and the players are able to evaluate them correctly. These results underline the usefulness of the new metric tool for identifying game design strengths and weaknesses. Future works will apply this metric to more serious games to further test its effectiveness and to guide the design of new serious games.
    Palabras clave
    Serious games
    Game evaluation
    Game desing
    Metrics
    Materia
    Sociología
    Sociology
    Juegos
    Games
    Informática
    Computer science
    URI
    http://hdl.handle.net/10259/7341
    Versión del editor
    https://doi.org/10.3390/app122211757
    Aparece en las colecciones
    • Artículos SYCON
    • Artículos BEST-AI
    • Artículos ADMIRABLE
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Ficheros en este ítem
    Nombre:
    Martinez-as_2022.pdf
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    2.962Mb
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