A flexible graph-based model for facilitating digital learning activities

Di ZOU, Fu Lee WANG, Haoran XIE*, Tak-Lam WONG, Reggie KWAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)

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.

Original languageEnglish
Pages (from-to)444-462
Number of pages19
JournalInternational Journal of Innovation and Learning
Volume23
Issue number4
Early online date28 Mar 2018
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

  • Digital learning
  • E-learning systems
  • Graph-based model
  • Multiple relationship
  • User model

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