A flexible graph-based model for facilitating digital learning activities

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

doi:10.1504/IJIL.2018.092041

A flexible graph-based model for facilitating digital learning activities

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

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

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	https://doi.org/10.1504/IJIL.2018.092041
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).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

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

Access to Document

10.1504/IJIL.2018.092041

Cite this

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title = "A flexible graph-based model for facilitating digital learning activities",

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 = "Digital learning, E-learning systems, Graph-based model, Multiple relationship, User model",

author = "Di ZOU and WANG, \{Fu Lee\} and Haoran XIE and Tak-Lam WONG and Reggie KWAN",

year = "2018",

doi = "10.1504/IJIL.2018.092041",

language = "English",

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pages = "444--462",

journal = "International Journal of Innovation and Learning",

issn = "1471-8197",

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}

TY - JOUR

T1 - A flexible graph-based model for facilitating digital learning activities

AU - ZOU, Di

AU - WANG, Fu Lee

AU - XIE, Haoran

AU - WONG, Tak-Lam

AU - KWAN, Reggie

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Digital learning

KW - E-learning systems

KW - Graph-based model

KW - Multiple relationship

KW - User model

UR - https://www.scopus.com/pages/publications/85048038886

U2 - 10.1504/IJIL.2018.092041

DO - 10.1504/IJIL.2018.092041

M3 - Journal Article (refereed)

AN - SCOPUS:85048038886

SN - 1471-8197

VL - 23

SP - 444

EP - 462

JO - International Journal of Innovation and Learning

JF - International Journal of Innovation and Learning

IS - 4

ER -

A flexible graph-based model for facilitating digital learning activities

Abstract

Funding

UN SDGs

Keywords

Access to Document

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