Paper Info
Title
Improving Massive Open Online Courses Analysis by Applying Modeling and Text Mining: A Case Study.
Abstract
The continuous increase in the number of open online courses has radically changed the traditional sectors of education during the last years. These new learning approaches are just impossible to being managed by using the traditional management methods. This is one of the main reasons to the failure of a big part of those courses. In this term article, we propose a big data modeling approach, considering information from a Big Data analysis perspective, finding out the most relevant indicators in order to guarantee the success of the course. This novel approach is driven along the paper using a case study of a course offered at our university. We describe the learning lesson in this work with the objective of providing general tools and indicator for courses overall. This will enable a better analysis and enhanced management of the courses in order to guarantee the success of them.
Year
DOI
Venue
2013
10.1007/978-3-319-14139-8_5
ADVANCES IN CONCEPTUAL MODELING, ER 2013
Keywords
Field
DocType
business intelligence,analytics,MOOC,text mining
Data science,Data mining,World Wide Web,Text mining,Computer science,Business intelligence,Analytics,Big data
Conference
Volume
ISSN
Citations 
8697
0302-9743
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Alejandro Maté113417.94
Elisa de Gregorio2163.30
José Cámara300.68
Juan Trujillo424316.42