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A flexible graph-based model for facilitating digital learning activities

Author

Listed:
  • Di Zou
  • Fu Lee Wang
  • Haoran Xie
  • Tak-Lam Wong
  • Reggie Kwan

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.

Suggested Citation

  • Di Zou & Fu Lee Wang & Haoran Xie & Tak-Lam Wong & Reggie Kwan, 2018. "A flexible graph-based model for facilitating digital learning activities," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 23(4), pages 444-462.
    • Handle: RePEc:ids:ijilea:v:23:y:2018:i:4:p:444-462
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