A traditional-learning time predictive approach for e-learning systems in challenging environments
Journal Title: EAI Endorsed Transactions on e-Learning - Year 2017, Vol 4, Issue 15
Abstract
The explosion of world-wide-web has offered people a large number of online courses, e-classes and e-schools. Such e-learning applications contain a wide variety of learning materials which can confuse the choices of learner to select. Although the area of recommender systems has made a significant progress over the last several years to address this problem, the issue remained fairly unexplored for challenging environments. This paper proposes an approach to predict traditional-learning times for recommender systems in such environments.
Authors and Affiliations
K. M. Belise
Keywords
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- EP ID EP45995
- DOI http://dx.doi.org/10.4108/eai.29-11-2017.153391
- Views 284
- Downloads 0
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