Paper Info
Title
Development of a Software that Supports Multimodal Learning Analytics: A Case Study on Oral Presentations.
Abstract
Learning Analytics is the intelligent use of data generated from students with the objective of understanding and improving the teaching and learning process. Currently, there is a lack of tools to measure the development of complex skills in real classroom environments that are flexible enough to add and process data from different sensors and oriented towards a massive public. Based on this finding, we developed a free software system that permits to capture and to visualize a set of 10 body postures using the Microsoft Kinect sensor, along with the ability to track custom body postures and data from other sensors. The developed tool was validated by means of precision and usability tests. Furthermore, with the goal of demonstrating the potential of incorporating this type of software into the classroom, the software was used as a tool to give feedback to the teacher and to the students at the moment of giving and evaluating oral presentations. Also, a clustering analysis of data gathered from 45 student presentations mdicate that presentations on similar topics with also similar complexity levels can be successfully discriminated.
Year
Venue
Keywords
2018
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Multimodal Learning Analytics,Microsoft Kinect,Oral Presentations,Self-Organizing Maps
Field
DocType
Volume
Data science,Computer science,Knowledge management,Software,Multimodal learning analytics
Journal
24
Issue
ISSN
Citations 
2
0948-695X
1
PageRank 
References 
Authors
0.36
0
7
Name
Order
Citations
PageRank
Roberto Muñoz-Soto173.18
Rodolfo Villarroel214517.44
Thiago S. Barcelos3136.45
Alexandra Souza410.36
Erick Merino510.70
Rodolfo Guiñez610.36
Leandro A. Silva721.76