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

• Published in: Education and information technologies Vol. 21; no. 6; pp. 1663 - 1677
• Main Authors: Anshari, Muhammad, Alas, Yabit, Guan, Lim Sei
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2016; Springer; Springer Nature B.V
• Subjects: Big Data; Cloud computing; Computer Appl. in Social and Behavioral Sciences; Computer Science; Computers and Education; Content Analysis; Cooperative Learning; Course Content; Education; Educational Resources; Educational Technology; Electronic Learning; Equipment and supplies; Information Systems Applications (incl.Internet); Learning Activities; Learning Processes; Online instruction; Semantic web; Social Networks; Teachers; Teaching; Teaching Methods; Technology Integration; User Interfaces and Human Computer Interaction; Web 2.0; Web 2.0 Technologies; Semantic web; Cloud computing; Social networks; Web 2.0; Online learning; Pervasive knowledge
• ISSN: 1360-2357; 1573-7608
• DOI: 10.1007/s10639-015-9407-3

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.