DocumentCode
2826716
Title
Data Analysis as a Tool for Optimizing Learning Management Systems
Author
Clari, Paloma Moreno ; Arevalillo-Herráez, Miguel ; Lleó, Vicente Cerverón
Author_Institution
Comput. Dept., Univ. of Valencia, Valencia, Spain
fYear
2009
fDate
15-17 July 2009
Firstpage
242
Lastpage
246
Abstract
The advent of the Internet has opened a scope for research in new methods and tools that may facilitate the teaching and learning processes. This has, in turn, led to the development of learning platforms to support teaching and learning activities. The market penetration of these has been such that nowadays most universities provide their academic community with some form of a learning management system (LMS). Although a lot of effort has been put into deploying these platforms, the usage statistics that they generally provide are not generally processed to optimize their use within a specific context or institution (or confronted with quality or innovation indexes to produce useful feedback information). In this paper we propose a methodology for data analysis and apply it to the particular case of the University of Valencia(Spain). Besides, we briefly describe a computer implementation that facilitates the application of this methodology to any other existing LMS which provides usage statistics.
Keywords
Internet; computer aided instruction; data analysis; educational institutions; optimisation; statistical analysis; teaching; Internet; University of Valencia; data analysis; learning management system; optimization; statistical analysis; teaching; Application software; Data analysis; Education; Educational institutions; Educational programs; Feedback; Least squares approximation; Space technology; Statistics; Technological innovation; Evaluation metodology; ICT; Learning Management Systems; Usage statistics; education quality; innovation in education;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location
Riga
Print_ISBN
978-0-7695-3711-5
Electronic_ISBN
978-0-7695-3711-5
Type
conf
DOI
10.1109/ICALT.2009.11
Filename
5194214
Link To Document