Vázquez-Ingelmo, A.García-Holgado, A.García-Peñalvo, F. J.Therón, R.Colomo-Palacios, R.2022-10-112022-10-112022-10-09Vázquez-Ingelmo, A., García-Holgado, A., García-Peñalvo, F. J., Therón, R., & Colomo-Palacios, R. (2022). Content-validation questionnaire of a meta-model to ease the learning of data visualization concepts. In A. Vázquez-Ingelmo, Y. Dimitriadis, A. M. Monés, & F. J. García-Peñalvo (Eds.), LASI Spain 2022. Learning Analytics Summer Institute Spain 2022 (LASI Spain 2022). Proceedings of the Learning Analytics Summer Institute Spain 2022 (LASI Spain 2022). Salamanca, Spain, June 20-21, 2022 (pp. 6-11). CEUR-WS.org. http://ceur-ws.org/Vol-32381613-0073http://repositorio.grial.eu/handle/grial/2769Data visualizations and dashboards are powerful means to convey information to large audiences. However, the design and understanding of these tools are not straightforward because several factors are involved. It is essential to rely on theoretical frameworks to design and implement data visualizations for these reasons. In this context, we propose a meta-model to identify and arrange the main characteristics and elements of data visualizations and dashboards. The proposed meta-model provides a powerful artifact to generate information visualizations and dashboards automatically, but also a learning resource to understand how data visualizations elements interact and influence each other. However, it is necessary to validate this artifact to ensure its quality and usefulness. In this paper, we present a work-in-progress or a quality assessment and content validation of the me-ta-model to seek weaknesses and tackle them in subsequent iterations.enInformation DashboardsData VisualizationLearning ResourceContent ValidationArticle