Defining Generic Data Collectors for Learning Analytics: Facing Up the Heterogeneous Data from Heterogeneous Environments
Jul 1, 2014·,,·
0 min read
Juan Cruz-Benito
Francisco J. García-Peñalvo
Roberto Therón
Abstract
This proposes how to face up, from a technological point of view, the collection and storage of heterogeneous data coming from heterogeneous environments related to the Learning process in order to take advantage in tasks related to Learning Analytics. It introduces the problem with the heterogeneous data over the time and deals how to resolve this issue giving up a theoretical approach and a proof of concept.
Type
Publication
2014 IEEE 14th International Conference on Advanced Learning Technologies
Data Analysis
Educational Administrative Data Processing
Information Storage
Generic Data Collectors
Heterogeneous Data Storage
Heterogeneous Data Collection
Data Integration
Resource Description Framework
Databases
Protocols
Cloud Computing
Face
Data Mining
Continuous Data Integration Process
Learning Analytics
Learning Evidences
NoSQL
Data Collection