Paper Info
Title
The improvement of analytics in massive open online courses by applying data mining techniques.
Abstract
The continuous increase in the number of open online courses has radically changed the traditional sector of education during the last years. These new learning approaches are very difficult to manage by using traditional management methods. This is one of the challenges in order to improve the new massive open online courses. In this paper, we propose a big data modelling approach, considering information from a big data analysis perspective, finding out which are the most relevant indicators in order to guarantee the success of the course. This novel approach is described along the paper using the case study of an open online course offered at our university. We describe the lessons learned in this work with the objective of providing general tools and indicators for other online courses. This will enhance the analysis and management of this kind of courses, contributing to their success.
Year
DOI
Venue
2016
10.1111/exsy.12119
Expert Systems
Keywords
DocType
Volume
business intelligence,analytics,MOOC,text mining
Journal
33
Issue
ISSN
Citations 
4
0266-4720
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Alejandro Maté113417.94
Elisa de Gregorio2163.30
José Cámara300.68
Juan Trujillo41869149.78
Sergio Luján-mora542447.92