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 |
Keywords
- Digital learning
- E-learning systems
- Graph-based model
- Multiple relationship
- User model