Educational Big Data Mining: How to Enhance Virtual Learning Environments

  • Pietro Ducange
  • Riccardo Pecori
  • Luigi Sarti
  • Massimo Vecchio
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 527)


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.


Big Data Educational data mining e-learning Virtual Learning Environment 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Pietro Ducange
    • 1
  • Riccardo Pecori
    • 1
  • Luigi Sarti
    • 1
    • 2
  • Massimo Vecchio
    • 1
  1. 1.SMART Engineering Solutions and Technologies (SMARTEST) Research CentreeCampus UniversityNovedrate (CO)Italy
  2. 2.Istituto per le Tecnologie Didattiche del Consiglio Nazionale delle RicercheGenova (GE)Italy

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