Download - F.kop serendipity and networked learning
Information aggregation in
networked learning: The human factor and serendipity
Rita Kop Institute for Information Technology
Learning and Collaborative Technologies Group
What to expect
Rita Kop
‘The circumstances, conditions and the very
status of knowledge, learning, teaching and
researching are currently in a state of
profound upheaval under the impact of rapid
and far-reaching technological change’.
Lankshear and Knobel 2000
Rita Kop
Changes in the
nature of the Web
http://www.flowtown.com/blog/have-we-reached-a-world-of-infinite-information?display=wide Rita Kop
‘This new reality presents challenges for the
existing higher education system. In
particular, how do people learn and solve
complex problems in social, global networks
in climates of information abundance?’
Siemens, 2012
Rita Kop
The changing learning
environment
Rita Kop
Changes in student
behaviour - Research
using a virtual computer
University
resources used:
28.51%
Web resources
used: 71.49%
Rita Kop
Pardo and Kloos (2011)
Changes in learning:
Open Networked Learning • A new theoretical
paradigm
• Transforms relations and communication
• Challenges existing educational structures
• Asks why we should continue to believe preconceived definitions of knowledge, learning, or collectively built knowledge?
Rita Kop
Critical Literacies for
educators and learners
Level of complexity: • Change
• Context
• Presence
• Networking
• Participation
• Attention
• Remixing
• Intercultural
New
semantics: •Text
• Hypertext
• (Social) Media
• Technical
• Searching
• Tagging
• Filtering
•Aggregating
• Analytics
Rita Kop
Rita Kop
Recommender systems
and serendipity
Serendipity in the
information stream?
Rita Kop
Information aggregation
Moving from:
Rita Kop
To:
Rita Kop http://davidwarlick.com/colearners/?p=73
and
Factors affecting
serendipity
• Autonomy
• Openness
• Interactivity
Rita Kop
Stephen Downes
Rita Kop
The human factor
and serendipity
Level of communication
Diversity
Degree of distance
RESEARCH
ON MOOCS
Challenges in
capturing Big Data
meatmeter.blogspot.com abovethelaw.com
Rita Kop
Who were the
participants?
Participants’ age
Participants’ residence
Participants’ professional background
Rita Kop
What did
participants do?
PLENK participation rates Rita Kop
21
• Twitter posts
• Discussion posts
• Blog posts
• Concept maps
• Google map
Wordles
• Pearltrees networks
• Presentations
• Animations
• S.Network groups
• Second Life area
http://zaidlearn.blogspot.com
/2010/09/plenk-2010-most-awesome-course-
on.html
Rita Kop
What did people
share on Twitter?
How did people
communicate on Twitter?
Twitter PLENK
connections to hash-
tag networks
#tags related to Twitter posts in the PLENK Daily - six weeks duration
Factors influencing serendipity on
the PLENK2010 Twitter network
Rita Kop
• Number of incoming messages
• The balance between messages: noise to signal
ratio
• Tweets or re-tweets
• RSS streams shared
• # Networks
Conclusions
• Small study
• Serendipity and predictive analytics systems
• Learning Analytics
• Human factor
Rita Kop
Further research
• Results need comparing with the
effectiveness of more traditional information
filtering strategies
• Serendipity Index
Rita Kop, PhD.
www.you-learn.org
@ WelshCloggy
Links to MOOC and PLE
research publications:
http://bit.ly/AEgnnp