Schreurs, Bieke; Teplovs, Chris; Ferguson, Rebecca; De Laat, Maarten and Buckingham Shum, Simon
(2013).
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview |
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1145/2460296.2460305 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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: |
|
||||||
| 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 | ||||||
| Share this page: |     |
Altmetrics | Scopus Citations |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.