SmartLAK: A Big Data Architecture for Supporting Learning Analytics Services

TítuloSmartLAK: A Big Data Architecture for Supporting Learning Analytics Services
AutoresThomas Rabelo, Manuel Lama, Ricardo Amorim, Juan Carlos Vidal
TipoComunicación para congreso
Fonte 2015 IEEE Frontiers in Education Conference, El paso, Texas (Estados Unidos), IEEE, 2015.
ISBN978-1-4799-8453-4
ISSN1539-4565
DOI10.1109/FIE.2015.7344147
AbstractIn this paper, we present a big data-based software architecture that uses an Experience API ontology to semantically describe the data stream generated by the learners of a course. This ontology is also used to represent these data in a graph database which provides a high performance access to the learning analytics services that process the large amount of data generated in the VLE.