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Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge

Education and Information Technologies volume 21, pages 1663–1677 (2016)Cite this article

Abstract

Utilizing online learning resources (OLR) from multi channels in learning activities promise extended benefits from traditional based learning-centred to a collaborative based learning-centred that emphasises pervasive learning anywhere and anytime. While compiling big data, cloud computing, and semantic web into OLR offer a broader spectrum of pervasive knowledge acquisition to enrich users’ experience in learning. In conventional learning practices, a student is perceived as a recipient of information and knowledge. However, nowadays students are empowered to involve in learning processes that play an active role in creating, extracting, and improving OLR collaborative learning platform and knowledge sharing as well as distributing. Researchers have employed contents analysis for reviewing literatures in peer-reviewed journals and interviews with the teachers who utilize OLR. In fact, researchers propose pervasive knowledge can address the need of integrating technologies like cloud computing, big data, Web 2.0, and Semantic Web. Pervasive knowledge redefines value added, variety, volume, and velocity of OLR, which is flexible in terms of resources adoption, knowledge acquisition, and technological implementation.

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Authors and Affiliations

  1. Universiti Brunei Darussalam, Gadong, BSB, Brunei

    Muhammad Anshari, Yabit Alas & Lim Sei Guan

Authors
  1. Muhammad Anshari
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  2. Yabit Alas
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  3. Lim Sei Guan
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Correspondence to Muhammad Anshari.

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Anshari, M., Alas, Y. & Guan, L.S. Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge. Educ Inf Technol 21, 1663–1677 (2016). https://doi.org/10.1007/s10639-015-9407-3

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  • DOI: https://doi.org/10.1007/s10639-015-9407-3

Keywords

  • Cloud computing
  • Social networks
  • Online learning
  • Pervasive knowledge
  • Web 2.0
  • Semantic web