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Social network analysis for technology-enhanced learning: review and future directions

Sie, Rory L.L.; Ullmann, Thomas Daniel; Rajagopal, Kamakshi; Cela, Karina; Rijpkema, Marlies Bitter and Sloep, Peter B. (2012). Social network analysis for technology-enhanced learning: review and future directions. International Journal of Technology Enhanced Learning, 4(3/4) pp. 172–190.

URL: http://www.inderscience.com/dev/search/index.php?a...
DOI (Digital Object Identifier) Link: https://doi.org/10.1504/IJTEL.2012.051582
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Abstract

By nature, learning is social. The interactions by which we learn from others inherently form a network of relationships among people, but also between people and resources. This paper gives an overview of the potential social network analysis (SNA) may have for social learning. It starts with an overview of the history of social learning and how SNA may be of value. The core of the paper outlines the state-of-art of SNA for technology-enhanced learning (TEL), by means of four possible types of SNA applications: visualisation, analysis, simulation, and interventions. In an outlook, future directions of SNA research for TEL are provided.

Item Type: Journal Item
Copyright Holders: 2012 Inderscience Enterprises Ltd.
ISSN: 1753-5255
Keywords: social network analysis; social media; internet; world wide web; social networking; networks; social learning; roadmaps; relationships; visualisation; simulation; interventions; technology enhanced learning
Academic Unit/School: Learning and Teaching Innovation (LTI) > Institute of Educational Technology (IET)
Learning and Teaching Innovation (LTI)
Item ID: 37829
Depositing User: Thomas Ullmann
Date Deposited: 21 Jun 2013 09:24
Last Modified: 02 May 2018 13:53
URI: http://oro.open.ac.uk/id/eprint/37829
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