Title :
Defining Generic Data Collectors for Learning Analytics: Facing Up the Heterogeneous Data from Heterogeneous Environments
Author :
Cruz-Benito, Juan ; Garcia-Penalvo, Francisco J. ; Theron, Roberto
Author_Institution :
Dept. of Comput. & Autom., GRIAL Res. Group, Univ. of Salamanca, Salamanca, Spain
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.
Keywords :
data analysis; educational administrative data processing; information storage; generic data collectors; heterogeneous data collection; heterogeneous data storage; learning analytics; Cloud computing; Data integration; Data mining; Databases; Face; Protocols; Resource description framework; Continuous Data Integration Process; Data Collection; Learning Analytics; Learning Evidences; NoSQL;
Conference_Titel :
Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
Conference_Location :
Athens
DOI :
10.1109/ICALT.2014.108
