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Title: A flexible graph-based model for facilitating digital learning activities
Author(s): Wang, Philips Fu Lee 
Xie, Haoran 
Kwan, Reggie Ching Ping 
Wong, Tak Lam 
Author(s): Zou, D.
Issue Date: 2018
Publisher: Inderscience Publishers
Journal: International Journal of Innovation and Learning 
Volume: 23
Issue: 4
Start page: 444
End page: 462
The development of big data techniques has created great opportunities for more powerful e-learning systems. Online platforms such as MOOCs, distance learning communities and mobile learning applications are therefore able to have larger data capacity and allow more users to access. However, a big challenge accompanied with the rapid development of e-learning systems is information overload for learners. Users may get lost in such a large volume of learning resources. To address this issue, it is essential to have a model for better understanding of user intentions, preferences and prior knowledge. Therefore, in this article, a flexible graph-based model for users is proposed by incorporating various relationships in this context. By consolidating various kinds of relationships in a unified graph model for the users, the model can then facilitate digital learning activities in e-learning systems. Additionally, some examples of using this model are discussed for the future studies on the model.
DOI: 10.1504/IJIL.2018.092041
CIHE Affiliated Publication: Yes
Appears in Collections:CIS Publication

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