Pervasive Knowledge, Social Networks, and Cloud Computing: E-Learning 2.0
Muhammad Anshari 1 * , Yabit bin Alas 1, Lim Sie Guan 1
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1 Universiti Brunei Darussalam* Corresponding Author

Abstract

Background:
Web 2.0 in learning processes has extended learning from traditional based learning-centred to a collaborative based learning-centred that emphasizes learning anywhere and anytime. While deploying Semantic Web offers a broader spectrum of pervasive knowledge acquisition to enrich users’ experience in learning.

Materials and methods:
There are five stages to accomplish the whole study. These are literature review, propose reference model, survey to verify the model and to gather user requirements, develop prototype, and finally the prototype with testing. However, this paper is limited to the first and second phase since this is ongoing project. After removing duplicates and articles beyond the scope of this study, researcher selected 70 articles for review. Researchers employ a thematic analysis that is the most important linked papers and articles.

Results:
The Web 2.0, cloud computing and semantic web contribute towards pervasive knowledge management. The pervasive knowledge in this model is to enable multi-channel knowledge that is available in Internet brought by Application as a Service in cloud computing to the users so that learning experience in e-learning 2.0 is richer due to comprehensive knowledge.

Conclusions:
E-learning 2.0 can be a solution to make learning process is flexible in terms of resources adoption, pervasive knowledge acquisition, and cloud computing implementation.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 11, Issue 5, 2015, 909-921

https://doi.org/10.12973/eurasia.2015.1360a

Publication date: 16 Jun 2017

Article Views: 3771

Article Downloads: 1855

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