Developing a Dashboard to Support the Analysis of Multimodal Educational Data

Rodolfo Villarroel, Cristian Villalobos, Erick Merino, Thiago Barcelos, Roberto Munoz

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

Learning 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.

Idioma originalInglés
Título de la publicación alojada2018 37th International Conference of the Chilean Computer Science Society, SCCC 2018
EditorialIEEE Computer Society
ISBN (versión digital)9781538692332
DOI
EstadoPublicada - 2 jul 2018
Publicado de forma externa
Evento37th International Conference of the Chilean Computer Science Society, SCCC 2018 - Santiago, Chile
Duración: 5 nov 20189 nov 2018

Serie de la publicación

NombreProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volumen2018-November
ISSN (versión impresa)1522-4902

Conferencia

Conferencia37th International Conference of the Chilean Computer Science Society, SCCC 2018
País/TerritorioChile
CiudadSantiago
Período5/11/189/11/18

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