Student Behavior Patterns in a Virtual Learning Environment


Student Behavior Patterns in a Virtual Learning Environment
Published in:	Innovation in Engineering, Technology and Education for Competitiveness and Prosperity: Proceedings of the 11th Latin American and Caribbean Conference for Engineering and Technology
Date of Conference:	August 14-16, 2013
Location of Conference:	Cancun, Mexico
Authors:	Priscila Valdiviezo Ruth Maria Reátegui Rojas Marcia Sarango
Refereed Paper:	#91

Abstract:
In English: This work focuses on the identification of student behavior patterns obtained from their interactions on a virtual learning Environment (VLE). Clustering techniques were used to classify certain indicators and to obtain groups of students with similar characteristics. The activities performed are directly related to four Computer Science degree courses in the Distance Education modality. Generally, our results show that students interacted more with online forum, followed by the quiz, tasks, instant messaging, resources, and twitter. The knowledge acquired via the data mining techniques helped to discover certain characteristics of their online interaction, which should be taken into account when enhancing the teaching-learning process.