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30 BILLION DEVICES AUTOMATICALLY INTERCONNECTED BY 2020_ IMPACT ON THE VLE

Atayero, A. A. (2014) 30 BILLION DEVICES AUTOMATICALLY INTERCONNECTED BY 2020_ IMPACT ON THE VLE. In: 7th International Conference of Education, Research and Innovation, 17th-19th November, Seville, Spain.

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Abstract

A fact established is that in the next six years, over 50 billion people, things and processes will be interconnected over the internet automatically, an average of six devices per person. The concept popularly known as the Internet of Things (IoT, also known as Internet of Everything 'IoE', Cloud of Things 'CoE') is fast gaining grounds and is bent to change the way we interact with the Internet. The IoT is estimated as a $1,423.09 billion dollar market by the year 2020. The fraction of this market to be accessed by the Education sector is yet to be determined. If the current figures are extrapolated however, this fraction promises to be quite substantial. The possibility of the IoT is totally enabled by the introduction of the IPv6 scheme, which has 340,282,366,920,938,463,463,374,607,431,768,211,456 IP addresses. This conveniently allows for assigning about 100 dedicated IP addresses to each atom on planet Earth. This will naturally affect all paradigms of teaching and learning that leverage on IP networks for content delivery e.g. VLEs, eLearning and mLearning. Discussed in this paper are the current approaches adopted in VLEs and how the emerging IoT/IoE paradigms will impact them in the not too distant future. This study will help prepare the VLE stakeholders to be better equipped for the impending changes that cannot but occur. Keywords: Internet of Things (IoT), Internet of Everything (IoE), Virtual Learning Environment (VLE), eLearning, Sensor Networks, M2M.

Item Type: Conference or Workshop Item (Paper)
Subjects: L Education > LB Theory and practice of education
L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Prof. AAA. Atayero
Date Deposited: 02 Dec 2014 12:32
Last Modified: 02 Dec 2014 12:32
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/3009

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