2026-06-27T15:23:02Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/995552025-05-10T00:08:47Zcom_20.500.14352_14col_20.500.14352_15

Alonso Fernández, Cristina Calvo Morata, Antonio Freire Morán, Manuel Martínez Ortiz, Iván Fernández Manjón, Baltasar 2024-02-06T14:15:21Z 2024-02-06T14:15:21Z 2020 Alonso-Fernández, C., Calvo-Morata, A., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2020). Evidence-based evaluation of a serious game to increase bullying awareness. Interactive Learning Environments, 31(2), 644–654. https://doi.org/10.1080/10494820.2020.1799031 1049-4820 10.1080/10494820.2020.1799031 https://hdl.handle.net/20.500.14352/99555 1744-5191 https://doi.org/10.1080/10494820.2020.1799031 Game Learning Analytics can be used to conduct evidence-based evaluations of the effect that serious games produce on their players by combining in-game user interactions and traditional evaluation methods. We illustrate this approach with a case-study where we conduct an evidence-based evaluation of a serious game’s effectiveness to increase awareness of bullying. In this paper, we describe: (1) the full process of tracking in-game interactions, analyzing the traces collected using the standard xAPI-SG format, and deriving game learning analytics variables (to be used as evidences); and (2) the use of those variables to predict the increase in bullying awareness. We consider that this process can be generalized and replicated to systematize, and therefore simplify, evidence-based evaluations for other serious games based on the interaction data of their players. eng restricted access Evidence-based evaluation of a serious game to increase bullying awareness journal article