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.
Date Issued
2018
Publisher
Inderscience Publishers
Journal
International Journal of Innovation and Learning
Volume
23
Issue
4
Start page
444
End page
462
Abstract
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.
SFU Affiliated Publication
Yes
Availability at SFU Library
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