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Visualizing social learning ties by type and topic: rationale and concept demonstrator

Schreurs, Bieke; Teplovs, Chris; Ferguson, Rebecca; De Laat, Maarten and Buckingham Shum, Simon (2013). Visualizing social learning ties by type and topic: rationale and concept demonstrator. In: Third Conference on Learning Analytics and Knowledge (LAK 2013), 8-12 April 2013, Leuven, Belgium, ACM, pp. 33–37.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2460296.2460305
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Abstract

Social Learning Analytics (SLA) are designed to support students learning through social networks, and reflective practitioners engage in informal learning through a community of practice. This short paper reports work in progress to develop SLA motivated specifically by Networked Learning Theory, drawing on the related concepts and tools of Social Network Analytics and Social Capital Theory, which provide complementary perspectives onto the structure and content of such networks. We propose that SLA based on these perspectives needs to devise models and visualizations capable of showing not only the usual SNA metrics, but the types of social tie forged between actors, and topic-specific subnetworks. We describe a technical implementation demonstrating this approach, which extends the Network Awareness Tool by automatically populating it with data from a social learning platform SocialLearn. The result is the ability to visualize relationships between people who interact around the same topics.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 ACM
ISBN: 1-4503-1785-5, 978-1-4503-1785-6
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetThe Open University
Keywords: networked learning; social learning analytics; social network analysis; visualization
Academic Unit/School: Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Centre for Research in Computing (CRC)
Related URLs:
Item ID: 36891
Depositing User: Simon Buckingham Shum
Date Deposited: 18 Mar 2013 10:02
Last Modified: 07 Feb 2017 18:20
URI: http://oro.open.ac.uk/id/eprint/36891
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