Developing a Dashboard to Support the Analysis of Multimodal Educational Data

RODOLFO HUMBERTO VILLARROEL ACEVEDO, Cristian Villalobos, Erick Merino, Thiago Barcelos, Roberto Munoz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2018 37th International Conference of the Chilean Computer Science Society, SCCC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538692332
DOIs
StatePublished - 2 May 2019
Event37th International Conference of the Chilean Computer Science Society, SCCC 2018 - Santiago, Chile
Duration: 5 Nov 20189 Nov 2018

Publication series

NameProceedings - International Conference of the Chilean Computer Science Society, SCCC
Volume2018-November
ISSN (Print)1522-4902

Conference

Conference37th International Conference of the Chilean Computer Science Society, SCCC 2018
CountryChile
CitySantiago
Period5/11/189/11/18

Keywords

  • dashboard
  • kinect
  • multimodal learning analytics
  • oral presentations

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