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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/cloudt...
Article . 2018 . Peer-reviewed
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Deep learning for a smart e-Iearning system

Authors: Abdessamad Chanaa; Nour-Eddine El Faddouli;

Deep learning for a smart e-Iearning system

Abstract

E-Iearning is the process of learning., educating, or training using web-based technologies. With the extensive use of such means, a tremendous amount of data are generated. The traditional methods of manual features engineering to collect, manage and process those data are very limited and time-consuming. Deep learning is one of the modern approaches that could automate this process in order to achieve effective smart e-learning. In this paper., we aim to introduce our personalized e-learning model that associate deep learning with process mining., in order to provide the learners with learning resources that fit their individual preferences., after giving an overview about both e-learning as an online educational system, and deep learning as a broader family of artificial intelligence.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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