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LAK13: Visualizing Social Learning Ties by Type and Topic: Rationale and Concept Demonstrator
1. Visualizing Social Learning Ties
by Type and Topic:
Rationale and Concept Demonstrator
Bieke Schreurs, Chris Teplovs, Rebecca Ferguson,
Maarten de Laat and Simon Buckingham-Shum
2. Interdisciplinary Collaboration
Network Awareness Tool
Networked learning Visualising Networks
of teachers in the TEL
workplace based on
practice-based
research
Plugin for SocialLearn
(Social) Learning Anaytics
Online learning platforms
SocialLearn
4. Theoretical Background
Motivated by Networked Learning Theory
drawing on the related concepts and tools of
Social Network Analytics which provide
complementary perspectives onto the
structure of social networks
and Social Capital Theory, which provide
complementary perspectives onto the
content of such networks
5. Theoretical Background:
Networked Learning
Networked Learning Theory tries to
understand how people develop
networks to support their learning.
6. Theoretical Background:
Networked Learning
Networked learning focuses on the
diversity of social relationships that
people develop, the strategies they use
to maintain them and the value this
creates for learning.
7. Theoretical Background:
Network Theory
Network Theory looks at the structure of
networks, the interplay of the
multiplexity and strength of ties within a
network and the antecedents and
consequences of the position of a
person in a network
8. Theoretical Background:
Social Capital
Social Capital Theory provides a lens to
look more closely at the relational
resources embedded in social ties and
how actors interact to gain access to
these resources
9. NAT Plugin for SocialLearn
The NAT plug-in for SocialLearn
visualizes networks by identifying
relationships between people who
interact around the same learning
topics.
10. NAT Plugin for SocialLearn
Dealing with multiple levels at once
1. Themeâs â tag clouds â based on âsetsâ
defined by content â overall online
learning platform
2. Theme networks â visualization of the
relation within a âsetâ â âgroupâ level
3. Mutiplexity, strength and content of ties
4. Ego-networks â individual network
relations per person
12. Conclusion
âą From an ego-perspective learners can see
their own learning network to provoke
learning-centric reflection by learners on how
they use their peers for learning.
âą Learners can use the plug-in as a (learning
browser).
âą Educators can use the plug-in to guide
students in the development of networked
learning competences and to gain insight into
the ability of groups of students to learn
collectively over time.
13. Conclusion
Educators can detect multiple (isolated)
networks within the online learning
environment, connect ideas and foster
collaboration beyond existing boundaries.
For researchers, the analysis of learning ties
and networks helps clarify how professionals
engage in learning relationships, as well as
the value of this engagement.
14. Future Research
âą Learners perceptions of their learning networks, their
(and mentorsâ) reactions to these visualizations.
âą Multiplexity of ties
âą Does the content of ties influence the structure of the
learning network?
âą Semantic Analysis on the tagcloud
âą Dynamic analysis
âą Do students find more peers to learn from using the
NAT plug-in?
âą Potential tool for conferences to find co-researchers
to do interdisciplinary research?
15. More information?
Screencast of the NAT plugin in SocialLearn:
http://bit.ly/NAT-SocialLearn
The Network Awareness Tool:
Schreurs, B., & de Laat, M. (2012). Network Awareness Tool â Learning Analytics in the
workplace: Detecting and Analyzing Informal Workplace Learning. Paper presented at
LAK12: 2nd International Conference on Learning Analytics and Knowledge (30 April - 2
May), Vancouver, Canada.
Email: bieke.schreurs@ou.nl
Special thanks to Prof. Simon Buckingham-Shum and Rebecca Ferguson from
The Open University to make this internship possible through the
SocialLearn Project