On Recommendation of Learning Objects Using Felder-Silverman Learning Style Model

On Recommendation of Learning Objects Using Felder-Silverman Learning Style Model

The e-learning recommender system in learning institutions is increasingly becoming the preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering personalised course learning objects based on student's preferences is still a challenge. Current mainstream recommen...

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Bibliographic Details
Main Authors: Shaimaa M. Nafea, Francois Siewe, Ying He
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering (CF)
content-based filtering (CBF)
e-learning
Felder-Silverman learning style model (FSLSM)
hybrid filtering (HF)
rating prediction
Online Access:https://ieeexplore.ieee.org/document/8798626/

Internet

https://ieeexplore.ieee.org/document/8798626/

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