DocumentCode
1782930
Title
Visual analytical model for educational data
Author
Gomez Aguilar, Diego Alonso ; Garcia-Penalvo, Francisco J. ; Theron, Roberto
Author_Institution
Dept. de Inf. y Autom., Univ. de Salamanca, Salamanca, Spain
fYear
2014
fDate
18-21 June 2014
Firstpage
1
Lastpage
6
Abstract
Current technologies used in learning processes imply the logging of all the performed activities. These data can be exploited to gain insight into the learning process and can be used for the assessment of students, professors and the processes themselves. However, although this wealth of data exists, it is still difficult for the teachers (and interested stakeholders) to verify hypothesis, extract conclusions, or make decisions based on discovered facts or situations. This paper introduces an educational data analysis model based on visual analytics, learning analytics and academic analytics, by means of a software tool that allows performing confirmatory and exploratory data analysis through the interacting with the gathered information from a typical Learning Management System. The main goal thus is to define a model which enable the discovery of knowledge on the specific learning process that, in turn, will permit to improve it.
Keywords
data analysis; data mining; learning management systems; academic analytics; activity logging; confirmatory data analysis; educational data analysis model; exploratory data analysis; information gathering; knowledge discovery; learning analytics; learning management system; learning process; process assessment; professor assessment; software tool; student assessment; visual analytical model; Data mining; Electronic learning; Least squares approximations; Social network services; Visual analytics; Educational Data Mining; Feedback; Inferring Social Network; Learning Analytics; Visual Analytics; Visualization; eLearning;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location
Barcelona
Type
conf
DOI
10.1109/CISTI.2014.6877098
Filename
6877098
Link To Document