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|Title:||A flexible graph-based model for facilitating digital learning activities||Author(s):||Wang, Philips Fu Lee
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||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.
|URI:||https://repository.cihe.edu.hk/jspui/handle/cihe/841||DOI:||10.1504/IJIL.2018.092041||CIHE Affiliated Publication:||Yes|
|Appears in Collections:||CIS Publication|
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