Big data for online learning systems

Big data for online learning systems Educ Inf Technol https://doi.org/10.1007/s10639-018-9741-3 1 1 Karim Dahdouh & Ahmed Dakkak & 1 2 Lahcen Oughdir & Fayçal Messaoudi Received: 9 February 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In recent years, Online learning systems have met big challenges, especially due to rapid changes in technology, the gigantic amounts of data to be stored and manipulated, the large number of learners and the diversity of educational resources. As a result, e-learning platforms must change their mech- anisms for data processing and storage to be smarter. In this context, big data is the relevant paradigm for the distributed and parallel processing of large data sets through thousands of clusters. It also offers a rich set of tools in order to improve data collection, storage, analysis, processing, optimization, and visualization. This article introduces the big data concept, its characteristics, and focuses in particular on the integration of it in a computing environment for human learning dedicated to online learning systems, and how the new methods, technologies, and tools of big data can enhance the future of online learning. Moreover, it proposes an approach for smoothly adapting the traditional e-learning systems to be suitable http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Education and Information Technologies Springer Journals
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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Computers and Education; Educational Technology; User Interfaces and Human Computer Interaction; Education, general; Information Systems Applications (incl.Internet); Computer Appl. in Social and Behavioral Sciences
ISSN
1360-2357
eISSN
1573-7608
D.O.I.
10.1007/s10639-018-9741-3
Publisher site
See Article on Publisher Site

Abstract

Educ Inf Technol https://doi.org/10.1007/s10639-018-9741-3 1 1 Karim Dahdouh & Ahmed Dakkak & 1 2 Lahcen Oughdir & Fayçal Messaoudi Received: 9 February 2018 /Accepted: 16 May 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract In recent years, Online learning systems have met big challenges, especially due to rapid changes in technology, the gigantic amounts of data to be stored and manipulated, the large number of learners and the diversity of educational resources. As a result, e-learning platforms must change their mech- anisms for data processing and storage to be smarter. In this context, big data is the relevant paradigm for the distributed and parallel processing of large data sets through thousands of clusters. It also offers a rich set of tools in order to improve data collection, storage, analysis, processing, optimization, and visualization. This article introduces the big data concept, its characteristics, and focuses in particular on the integration of it in a computing environment for human learning dedicated to online learning systems, and how the new methods, technologies, and tools of big data can enhance the future of online learning. Moreover, it proposes an approach for smoothly adapting the traditional e-learning systems to be suitable

Journal

Education and Information TechnologiesSpringer Journals

Published: May 30, 2018

References

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