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2017 | OriginalPaper | Buchkapitel

Educational Big Data Mining: How to Enhance Virtual Learning Environments

verfasst von : Pietro Ducange, Riccardo Pecori, Luigi Sarti, Massimo Vecchio

Erschienen in: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Verlag: Springer International Publishing

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Abstract

The growing development of virtual learning platforms is boosting a new type of Big Data and of Big Data Stream, those ones that can be labeled as e-learning Big Data. These data, coming from different sources of Virtual Learning Environments, such as communications between students and instructors as well as pupils tests, require accurate analysis and mining techniques in order to retrieve from them fruitful insights. This paper analyzes the main features of current e-learning systems, pointing out their sources of data and the huge amount of information that may be retrieved from them. Moreover, we assess the concept of educational Big Data, suggesting a logical and functional layered model that can turn to be very useful in real life.

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Titel: Educational Big Data Mining: How to Enhance Virtual Learning Environments
verfasst von: Pietro Ducange
Riccardo Pecori
Luigi Sarti
Massimo Vecchio
Verlag: Springer International Publishing
Buch: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16
Print ISBN: 978-3-319-47363-5

Electronic ISBN: 978-3-319-47364-2

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-47364-2_66

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