Defining Generic Data Collectors for Learning Analytics: Facing Up the Heterogeneous Data from Heterogeneous Environments

Juan Cruz-Benito, Francisco J. García-Peñalvo, Roberto Therón
July 2014
DOI

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
Conference paper
Publication
2014 IEEE 14th International Conference on Advanced Learning Technologies
data analysis educational administrative data processing information storage generic data collectors learning analytics 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

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