Experiences in Visualizing the Analysis of Blended-Learning Interactions to Support Teachers

In the context of the MAgAdI environment, this paper presents SIgMa, a teacher oriented tool, and SIgBLE, its general framework basis. SIgMa´s general aims are to automatically detect visible signs of failure or success among data coming from interactions happened on blended learning environments, and to provide relevant feedback adapted to teachers. First, we introduce SIgBLE and the interface of the SIgMa prototype. A usability test of the current prototype is also presented.