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 language | English |
|---|---|
| Pages (from-to) | 444-462 |
| Number of pages | 19 |
| Journal | International Journal of Innovation and Learning |
| Volume | 23 |
| Issue number | 4 |
| Early online date | 28 Mar 2018 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
Funding
The work described in this paper was fully supported by the Start-Up Research Grant (RG 37/2016-2017R) of The Education University of Hong Kong and a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS11/E06/14). This journal article is an extension of the paper entitled ‘The AHG framework for multi-level e-learning applications’ published in the proceedings of the International Conference on Blended Learning (ICBL 2016) in Lecture Notes on Computer Sciences (Zou et al., 2016).
Keywords
- Digital learning
- E-learning systems
- Graph-based model
- Multiple relationship
- User model