A flexible graph-based model for facilitating digital learning activities

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

Research output: Contribution to journalArticle

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. Copyright © 2018 Inderscience Enterprises Ltd.
LanguageEnglish
Pages444-462
JournalInternational Journal of Innovation and Learning
Volume23
Issue number4
Early online dateMar 2018
DOIs
Publication statusPublished - 2018

Fingerprint

electronic learning
learning
Learning systems
Distance education
distance learning
Graph
information system
Electronic learning
resources
knowledge
community
Distance learning
Information overload
Resources
Graph model
Prior knowledge
Learning communities
Big data

Citation

Zou, D., Wang, F. L., Xie, H., Wong, T.-L., & Kwan, R. (2018). A flexible graph-based model for facilitating digital learning activities. International Journal of Innovation and Learning, 23(4), 444-462. doi: 10.1504/IJIL.2018.092041

Keywords

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