In 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.
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Publication: Congress
1624015037852
June 18, 2021
/research/publications/smartlak-a-big-data-architecture-for-supporting-learning-analytics-services
In 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. - Thomas Rabelo, Manuel Lama, Ricardo Amorim, Juan Carlos Vidal - 10.1109/FIE.2015.7344147
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