Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SCCC.2018.8705240 | 2018 37th International Conference of the Chilean Computer Science Society (SCCC) |
Keywords | Field | DocType |
Software,Data visualization,Silicon compounds,Visualization,Media,Tools,Engineering students | Data visualization,Learning analytics,Computer science,Visualization,Human–computer interaction,Software,Artificial intelligence,Dashboard (business),Cluster analysis,Machine learning,Multimodal learning analytics | Conference |
ISSN | ISBN | Citations |
1522-4902 | 978-1-5386-9233-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rodolfo Villarroel | 1 | 145 | 17.44 |
| Cristian Villalobos | 2 | 0 | 0.34 |
| Erick Merino | 3 | 2 | 0.70 |
| Thiago S. Barcelos | 4 | 13 | 6.45 |
| Roberto Muñoz | 5 | 43 | 10.46 |