RT Journal Article
T1 Evidence-based evaluation of a serious game to increase bullying awareness
A1 Alonso Fernández, Cristina
A1 Calvo Morata, Antonio
A1 Freire Morán, Manuel
A1 Martínez Ortiz, Iván
A1 Fernández Manjón, Baltasar
AB 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.
PB Taylor & Francis
SN 1049-4820
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/99555
UL https://hdl.handle.net/20.500.14352/99555
LA eng
NO 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
NO Comunidad de Madrid
NO European Commission
NO Ministerio de Educación (España)
DS Docta Complutense
RD 31 jul 2025