Title :
Opportunities for Moodle data and learning intelligence in Virtual Environments
Author :
Bianca-Maria Corsatea;Stuart Walker
Author_Institution :
School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
Abstract :
Virtual Learning Environments (VLEs) have increased immensely in their popularity worldwide. In the UK, every higher educational institution is using one or more VLEs to assist teaching. Because of the growing number of online interactions with these environments, students are leaving trails of information regarding their online activities. This data is descriptive of students´ behavior and has the potential of becoming a goldmine of educational data.
Keywords :
"Data mining","Machine learning algorithms","Computer science","Databases","Clustering algorithms","Electronic learning"
Conference_Titel :
Evolving and Adaptive Intelligent Systems (EAIS), 2015 IEEE International Conference on
DOI :
10.1109/EAIS.2015.7368776
