Article: A flexible graph-based model for facilitating digital learning activities Journal: International Journal of Innovation and Learning (IJIL) 2018 Vol.23 No.4 pp.444 - 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. Inderscience Publishers - linking academia, business and industry through research

Title: A flexible graph-based model for facilitating digital learning activities

Authors: Di Zou; Fu Lee Wang; Haoran Xie; Tak-Lam Wong; Reggie Kwan

Addresses: Department of English Language Education, The Education University of Hong Kong, Tai Po, Hong Kong ' Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong ' Department of Mathematics and Information Technology, The Education University of Hong Kong, Tai Po, Hong Kong ' Department of Mathematics and Information Technology, The Education University of Hong Kong, Tai Po, Hong Kong ' The Open University of Hong Kong, 30 Good Shepherd Street, Hon Man Tin, Hong Kong

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.

Keywords: graph-based model; e-learning systems; user model; multiple relationship; digital learning.

DOI: 10.1504/IJIL.2018.092041

International Journal of Innovation and Learning, 2018 Vol.23 No.4, pp.444 - 462

Received: 07 Dec 2016
Accepted: 04 Feb 2017
Published online: 30 May 2018 *

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Title: A flexible graph-based model for facilitating digital learning activities

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