Muñoz, RobertoRobertoMuñozRodolfo VillarroelCristian VillalobosErick MerinoThiago Barcelos2025-08-252025-08-252018-07-0210.1109/sccc.2018.87052402-s2.0-85065748334https://cris-uv-2.scimago.es/handle/123456789/5350Learning analytics consists of gathering and analyzing data from students in order to understand complex aspects of the learning process and promote its improvement. Currently, there is a lack of tools that allow the visualization of multimodal data. In this paper, we present a visualizer that allows analyzing the data provided by a multimodal learning analytics software. The multimodal data visualizer, in addition to allowing to visualize 10 body postures, permits applying clustering techniques, such as k-means. As validation, we analyze the data provided of 43 engineering student presentations.enacceso restringidoComputer ScienceEngineeringconference paper