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Collective Intelligence for
OER Sustainability
1
Simon Buckingham Shum & Anna De Liddo
OLnet Project, Knowledge Media Institute
Open University UK
Open Education 2010, Barcelona
http://creativecommons.org/licenses/by-nc/2.0/uk
OLnet
aims
to
search

out
the
evidence
for

use
and
reuse


of
OER

and


build
a
collec7ve

intelligence

infrastructure
that

makes
this
a
visible,

and
evolving
map
of

the
movement’s

knowledge
and
open

challenges

olnet.org

Examples of OER Collective Intelligence
  The following tend to be adoption obstacles for OER in
Africa…
  OER xyz failed to transfer to a new context because…
  There appear to be 5 main strategies to OER
sustainability, of which only 2 have robust evidence…
  The following arguments for OER have proven most
compelling to state educational boards…
  Successful OER initiatives seem to share these
competencies in the core team…
Examples of OER evidence
4
OER Sustainability
5
~
Sustainability as a
property of ecosystems
6
OER Sustainability
Sustainability
 Resilience
 Resilience Thinking
 Resilience Platforms
 OER Threats/Opps
 OER Collective Intelligence
7
Complexity
Line of argument…
Resilience
  Walker, et al. (2004) define resilience as
“the capacity of a system to absorb
disturbance and reorganize while
undergoing change, so as to still
retain essentially the same function,
structure, identity, and feedbacks”
8
Resilience in Socio-Ecological Systems
  Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. Resilience, adaptability and transformability in
social–ecological systems. Ecology and Society, 9, (2): 5. http://www.ecologyandsociety.org/vol9/iss2/art5
9
Fig. 1a. Three-dimensional stability landscape with two basins of attraction showing, in one basin, the current
position of the system and three aspects of resilience, L = latitude, R = resistance, Pr = precariousness.
Latitude: the
maximum amount
the system can be
changed before
losing its ability to
recover
Resistance: the
ease or difficulty
of changing the
system
Precariousness:
the current
trajectory of the
system, and how
close it currently
is to a limit or
“threshold”
Resilience in Socio-Ecological Systems
  Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. Resilience, adaptability and transformability in
social–ecological systems. Ecology and Society, 9, (2): 5. http://www.ecologyandsociety.org/vol9/iss2/art5
10
Fig. 1b. Changes in the stability landscape have resulted in a contraction of the basin the system was in and
an expansion of the alternate basin. Without itself changing, the system has changed basins.
It may not yet be possible to model a
human community in such quantitative
terms, but the broader principles of
Resilience Thinking apply to non-
ecological systems more clearly
Resilience
11
http://www.futureofed.org/driver/Platforms-for-Resilience.aspx
“System shocks and disruptions in the arenas of
energy, finance, climate, and health care are key
forces of destabilization in this century.
Institutional strategies that focus on resisting
disruption and maintaining the status quo will
not offer sufficient responses.”
Resilience Thinking (explosion of resources on this)
  A resilient world (Walker, 2008)…
12
promotes biological, landscape, social and economic diversity
embraces and works with natural ecological cycles
consists of modular components
possesses tight feedbacks
promotes trust, well developed social networks and leadership
places an emphasis on learning, experimentation, locally developed
rules, and embracing change
has institutions with "redundancy" in governance structures
mixes common and private property with overlapping access rights
considers all nature’s un-priced services
Resilience Thinking
  A resilient world (Walker, 2008)…
13
promotes biological,
landscape, social and
economic diversity
Diversity is a major source of future options and of a
system's capacity to respond to change.
Resilience Thinking
  A resilient world (Walker, 2008)…
14
embraces and works with
natural ecological cycles
A forest that is never allowed to burn loses its fire-
resistant species and becomes very vulnerable to
fire.
Resilience Thinking
  A resilient world (Walker, 2008)…
15
consists of modular
components
When over-connected, shocks are rapidly
transmitted through the system - as a forest
connected by logging roads can allow a wild fire to
spread wider than it would otherwise.
Resilience Thinking
  A resilient world (Walker, 2008)…
16
possesses tight feedbacks
Feedbacks allow us to detect thresholds before we
cross them. Globalization is leading to delayed
feedbacks that were once tighter. For example,
people of the developed world receive weak
feedback signals about the consequences of their
consumption.
Resilience Thinking
  A resilient world (Walker, 2008)…
17
promotes trust, well
developed social networks
and leadership
Individually, these attributes contribute to what is
generally termed "social capital," but they need to
act in concert to effect adaptability - the capacity to
respond to change and disturbance.
Resilience Thinking
  A resilient world (Walker, 2008)…
18
places an emphasis on
learning, experimentation,
locally developed rules, and
embracing change
When rigid connections and behaviors are broken,
new opportunities open up and new resources are
made available for growth.
Resilience Thinking
  A resilient world (Walker, 2008)…
19
has institutions with
"redundancy" in governance
structures
Redundancy in institutions increases the diversity of
responses and the flexibility of a system.
Resilience Thinking
  A resilient world (Walker, 2008)…
20
mixes common and private
property with overlapping
access rights
Because access and property rights lie at the heart
of many resource-use tragedies, overlapping rights
and a mix of common and private property rights can
enhance the resilience of linked social-ecological
systems.
Resilience Thinking
  A resilient world (Walker, 2008)…
21
considers all nature’s un-
priced services
– such as carbon storage, water filtration and so on -
in development proposals and assessments. These
services are often the ones that change in a regime
shift – and are often only recognized and appreciated
when they are lost.
Resilience Platforms
22
http://www.futureofed.org/driver/Platforms-for-Resilience.aspx
Resilience Platforms
23
http://www.futureofed.org/driver/Platforms-for-Resilience.aspx
Creating flexibility and innovation amid system failures
“Platforms for resilience - enabling
responsive flexibility, distributed
collaboration, and transparency - will allow
institutions to meet such challenges
through innovation, adaptation, and
openness.”
Resilience in knowledge-intensive ecosystems
24
When knowledge and understanding are
key variables in the system, resilience
depends on the capacity for learning
e.g. awareness of discrepant evidence,
critical practice, reflection and dialogue
when confronted by challenges or shocks
to the system.
Resilience Thinking: OER opportunities + threats
25
Threat to established educational
paradigm?
(Opportunity for OER/Open
Social Learning?)
Resilience Thinking: OER opportunities + threats
26
Threat to established educational
paradigm?
(Opportunity for OER/Open
Social Learning?)
Resilience Thinking: OER opportunities + threats
27
Threat to OER/Open Social
Learning?
Threat to established educational
paradigm?
(Opportunity for OER/Open
Social Learning?)
Resilience Thinking: OER opportunities + threats
28
Public doc on SBS blog: http://people.kmi.open.ac.uk/sbs/2010/10/resilience-thinking-edu
Resilience Thinking: OER opportunities + threats
29
Public doc on SBS blog: http://people.kmi.open.ac.uk/sbs/2010/10/resilience-thinking-edu
Collective Intelligence for resilience?
30
Collective Intelligence for resilience?
31
Sources include: Weick (1995); Kurtz & Snowden (2003); Browning, L. and Boudès, T. (2005); Hagel et al (2010)
Collective Intelligence for resilience?
32
Sources include: Weick (1995); Kurtz & Snowden (2003); Browning, L. and Boudès, T. (2005); Hagel et al (2010)
the key idea…
sensemaking revolves around
conversations
perspective and context are key: we don’t
always agree
contested collective intelligence
33
Towards an OER Collective Intelligence
Infrastructure
How can we pool the OER evidence base and
debate open issues?...
34
How can we pool the OER evidence base and
debate open issues?...
35
How can we pool the OER evidence base and
debate open issues?...
36
interpretation
interpretation
interpretation
interpretation
How can we pool the OER evidence base and
debate open issues?...
37
interpretation
interpretationinterpretation
interpretation
interpretation
(a hunch – no
grounding
evidence yet)
interpretation
How can we pool the OER evidence base and
debate open issues?...
38
predictscauses
interpretation
interpretationinterpretation
interpretation
interpretation
(a hunch – no
grounding
evidence yet)
interpretation
Is pre-requisite for
How can we pool the OER evidence base and
debate open issues?...
39
prevents
predictscauses
interpretation
interpretationinterpretation
interpretation
interpretation
(a hunch – no
grounding
evidence yet)
Is inconsistent with
interpretation
challenges
Is pre-requisite for
Building the story that makes sense of the
evidence… i.e. plausible narrative and arguments
40
Question
Answer
Supporting
Argument…
Challenging
Argument…
challengessupports
responds to
Assumption
motivates
Building the story that makes sense of the
evidence… i.e. plausible narrative and arguments
41
Question
Answer
Supporting
Argument…
Challenging
Argument…
challengessupports
responds to
Hunch
motivates
Building the story that makes sense of the
evidence… i.e. plausible narrative and arguments
42
Question
Answer
Supporting
Argument…
Challenging
Argument…
challengessupports
responds to
Data
motivates
43
http://cohere.open.ac.uk
Convergence of…
web annotation
social bookmarking
concept mapping
structured debate
a prototype infrastructure for
collective intelligence/social learning
Structured deliberation and debate in which
Questions, Evidence and Connections are
first class entities (linkable, addressable, embeddable, contestable…)
44
45
Structured deliberation and debate in which
Questions, Evidence and Connections are
first class entities (linkable, addressable, embeddable, contestable…)
Analyst-defined visual connection language
46
47
Structured deliberation and debate in which
Questions, Evidence and Connections are
first class entities (linkable, addressable, embeddable, contestable…)
— web annotation of OER (Firefox extension)
seeing the connections people make as
they annotate the web using Cohere
Visualizing all the connections that a
set of analysts have made
— but unfiltered, this may not be very
helpful
Visualizing multiple learners’
interpretations of global
warming sources
Connections have been filtered
by a set of semantic
relationships grouped as
Consistency
— semantic filtering of connections
De Liddo, A. and Buckingham Shum, S. (2010). Cohere: A prototype for contested collective intelligence. In: ACM Computer Supported Cooperative Work
(CSCW 2010) - Workshop: Collective Intelligence In Organizations, February 6-10, 2010, Savannah, Georgia, USA. http://oro.open.ac.uk/19554
— web annotation for sensemaking
Social
Network
Social
Discourse
Network
Concept
Network
— geospatial mashup of ideas
Nodes in the semantic
network containing
geolocation data can be
visualized in Google Maps
— timeline viz. mashup of ideas
Nodes in the semantic
network containing temporal
data can be visualized in MIT
Simile’s timeline
A large scale OER CI exercise:
Are you on the map? (whose map?...)
  120 OER project reports from Hewlett Foundation
  What is the evidence base around OER impact?
  What are the unresolved questions that help set the
roadmap?
  Reports analysed by OER researchers and via
computational linguistics engine…
…feeding into a set of multi-dimensional
interactive knowledge maps
  To be shared with the OER community Spring 2011,
inviting mass participation to update the evidence
base, and create a living conversation, generating
dynamic maps that we can collectively own
55
Sustainability
 Resilience
 Resilience Thinking
 Resilience Platforms
 OER Threats/Opps
 OER Collective Intelligence
56
Complexity
Summary
In more detail…
articles, books, news, movies, software, community…
57
http://cohere.open.ac.uk
http://projects.kmi.open.ac.uk/hyperdiscourse
http://OLnet.org

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OpenEd10_SimonBUCKINGHAMSHUM_2

  • 1. Collective Intelligence for OER Sustainability 1 Simon Buckingham Shum & Anna De Liddo OLnet Project, Knowledge Media Institute Open University UK Open Education 2010, Barcelona http://creativecommons.org/licenses/by-nc/2.0/uk
  • 3. Examples of OER Collective Intelligence   The following tend to be adoption obstacles for OER in Africa…   OER xyz failed to transfer to a new context because…   There appear to be 5 main strategies to OER sustainability, of which only 2 have robust evidence…   The following arguments for OER have proven most compelling to state educational boards…   Successful OER initiatives seem to share these competencies in the core team…
  • 4. Examples of OER evidence 4
  • 6. ~ Sustainability as a property of ecosystems 6 OER Sustainability
  • 7. Sustainability  Resilience  Resilience Thinking  Resilience Platforms  OER Threats/Opps  OER Collective Intelligence 7 Complexity Line of argument…
  • 8. Resilience   Walker, et al. (2004) define resilience as “the capacity of a system to absorb disturbance and reorganize while undergoing change, so as to still retain essentially the same function, structure, identity, and feedbacks” 8
  • 9. Resilience in Socio-Ecological Systems   Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. Resilience, adaptability and transformability in social–ecological systems. Ecology and Society, 9, (2): 5. http://www.ecologyandsociety.org/vol9/iss2/art5 9 Fig. 1a. Three-dimensional stability landscape with two basins of attraction showing, in one basin, the current position of the system and three aspects of resilience, L = latitude, R = resistance, Pr = precariousness. Latitude: the maximum amount the system can be changed before losing its ability to recover Resistance: the ease or difficulty of changing the system Precariousness: the current trajectory of the system, and how close it currently is to a limit or “threshold”
  • 10. Resilience in Socio-Ecological Systems   Walker, B., C. S. Holling, S. R. Carpenter, and A. Kinzig. 2004. Resilience, adaptability and transformability in social–ecological systems. Ecology and Society, 9, (2): 5. http://www.ecologyandsociety.org/vol9/iss2/art5 10 Fig. 1b. Changes in the stability landscape have resulted in a contraction of the basin the system was in and an expansion of the alternate basin. Without itself changing, the system has changed basins. It may not yet be possible to model a human community in such quantitative terms, but the broader principles of Resilience Thinking apply to non- ecological systems more clearly
  • 11. Resilience 11 http://www.futureofed.org/driver/Platforms-for-Resilience.aspx “System shocks and disruptions in the arenas of energy, finance, climate, and health care are key forces of destabilization in this century. Institutional strategies that focus on resisting disruption and maintaining the status quo will not offer sufficient responses.”
  • 12. Resilience Thinking (explosion of resources on this)   A resilient world (Walker, 2008)… 12 promotes biological, landscape, social and economic diversity embraces and works with natural ecological cycles consists of modular components possesses tight feedbacks promotes trust, well developed social networks and leadership places an emphasis on learning, experimentation, locally developed rules, and embracing change has institutions with "redundancy" in governance structures mixes common and private property with overlapping access rights considers all nature’s un-priced services
  • 13. Resilience Thinking   A resilient world (Walker, 2008)… 13 promotes biological, landscape, social and economic diversity Diversity is a major source of future options and of a system's capacity to respond to change.
  • 14. Resilience Thinking   A resilient world (Walker, 2008)… 14 embraces and works with natural ecological cycles A forest that is never allowed to burn loses its fire- resistant species and becomes very vulnerable to fire.
  • 15. Resilience Thinking   A resilient world (Walker, 2008)… 15 consists of modular components When over-connected, shocks are rapidly transmitted through the system - as a forest connected by logging roads can allow a wild fire to spread wider than it would otherwise.
  • 16. Resilience Thinking   A resilient world (Walker, 2008)… 16 possesses tight feedbacks Feedbacks allow us to detect thresholds before we cross them. Globalization is leading to delayed feedbacks that were once tighter. For example, people of the developed world receive weak feedback signals about the consequences of their consumption.
  • 17. Resilience Thinking   A resilient world (Walker, 2008)… 17 promotes trust, well developed social networks and leadership Individually, these attributes contribute to what is generally termed "social capital," but they need to act in concert to effect adaptability - the capacity to respond to change and disturbance.
  • 18. Resilience Thinking   A resilient world (Walker, 2008)… 18 places an emphasis on learning, experimentation, locally developed rules, and embracing change When rigid connections and behaviors are broken, new opportunities open up and new resources are made available for growth.
  • 19. Resilience Thinking   A resilient world (Walker, 2008)… 19 has institutions with "redundancy" in governance structures Redundancy in institutions increases the diversity of responses and the flexibility of a system.
  • 20. Resilience Thinking   A resilient world (Walker, 2008)… 20 mixes common and private property with overlapping access rights Because access and property rights lie at the heart of many resource-use tragedies, overlapping rights and a mix of common and private property rights can enhance the resilience of linked social-ecological systems.
  • 21. Resilience Thinking   A resilient world (Walker, 2008)… 21 considers all nature’s un- priced services – such as carbon storage, water filtration and so on - in development proposals and assessments. These services are often the ones that change in a regime shift – and are often only recognized and appreciated when they are lost.
  • 23. Resilience Platforms 23 http://www.futureofed.org/driver/Platforms-for-Resilience.aspx Creating flexibility and innovation amid system failures “Platforms for resilience - enabling responsive flexibility, distributed collaboration, and transparency - will allow institutions to meet such challenges through innovation, adaptation, and openness.”
  • 24. Resilience in knowledge-intensive ecosystems 24 When knowledge and understanding are key variables in the system, resilience depends on the capacity for learning e.g. awareness of discrepant evidence, critical practice, reflection and dialogue when confronted by challenges or shocks to the system.
  • 25. Resilience Thinking: OER opportunities + threats 25 Threat to established educational paradigm? (Opportunity for OER/Open Social Learning?)
  • 26. Resilience Thinking: OER opportunities + threats 26 Threat to established educational paradigm? (Opportunity for OER/Open Social Learning?)
  • 27. Resilience Thinking: OER opportunities + threats 27 Threat to OER/Open Social Learning? Threat to established educational paradigm? (Opportunity for OER/Open Social Learning?)
  • 28. Resilience Thinking: OER opportunities + threats 28 Public doc on SBS blog: http://people.kmi.open.ac.uk/sbs/2010/10/resilience-thinking-edu
  • 29. Resilience Thinking: OER opportunities + threats 29 Public doc on SBS blog: http://people.kmi.open.ac.uk/sbs/2010/10/resilience-thinking-edu
  • 30. Collective Intelligence for resilience? 30
  • 31. Collective Intelligence for resilience? 31 Sources include: Weick (1995); Kurtz & Snowden (2003); Browning, L. and Boudès, T. (2005); Hagel et al (2010)
  • 32. Collective Intelligence for resilience? 32 Sources include: Weick (1995); Kurtz & Snowden (2003); Browning, L. and Boudès, T. (2005); Hagel et al (2010)
  • 33. the key idea… sensemaking revolves around conversations perspective and context are key: we don’t always agree contested collective intelligence 33 Towards an OER Collective Intelligence Infrastructure
  • 34. How can we pool the OER evidence base and debate open issues?... 34
  • 35. How can we pool the OER evidence base and debate open issues?... 35
  • 36. How can we pool the OER evidence base and debate open issues?... 36 interpretation interpretation interpretation interpretation
  • 37. How can we pool the OER evidence base and debate open issues?... 37 interpretation interpretationinterpretation interpretation interpretation (a hunch – no grounding evidence yet) interpretation
  • 38. How can we pool the OER evidence base and debate open issues?... 38 predictscauses interpretation interpretationinterpretation interpretation interpretation (a hunch – no grounding evidence yet) interpretation Is pre-requisite for
  • 39. How can we pool the OER evidence base and debate open issues?... 39 prevents predictscauses interpretation interpretationinterpretation interpretation interpretation (a hunch – no grounding evidence yet) Is inconsistent with interpretation challenges Is pre-requisite for
  • 40. Building the story that makes sense of the evidence… i.e. plausible narrative and arguments 40 Question Answer Supporting Argument… Challenging Argument… challengessupports responds to Assumption motivates
  • 41. Building the story that makes sense of the evidence… i.e. plausible narrative and arguments 41 Question Answer Supporting Argument… Challenging Argument… challengessupports responds to Hunch motivates
  • 42. Building the story that makes sense of the evidence… i.e. plausible narrative and arguments 42 Question Answer Supporting Argument… Challenging Argument… challengessupports responds to Data motivates
  • 43. 43 http://cohere.open.ac.uk Convergence of… web annotation social bookmarking concept mapping structured debate a prototype infrastructure for collective intelligence/social learning
  • 44. Structured deliberation and debate in which Questions, Evidence and Connections are first class entities (linkable, addressable, embeddable, contestable…) 44
  • 45. 45 Structured deliberation and debate in which Questions, Evidence and Connections are first class entities (linkable, addressable, embeddable, contestable…)
  • 47. 47 Structured deliberation and debate in which Questions, Evidence and Connections are first class entities (linkable, addressable, embeddable, contestable…)
  • 48. — web annotation of OER (Firefox extension)
  • 49. seeing the connections people make as they annotate the web using Cohere Visualizing all the connections that a set of analysts have made — but unfiltered, this may not be very helpful
  • 50. Visualizing multiple learners’ interpretations of global warming sources Connections have been filtered by a set of semantic relationships grouped as Consistency — semantic filtering of connections De Liddo, A. and Buckingham Shum, S. (2010). Cohere: A prototype for contested collective intelligence. In: ACM Computer Supported Cooperative Work (CSCW 2010) - Workshop: Collective Intelligence In Organizations, February 6-10, 2010, Savannah, Georgia, USA. http://oro.open.ac.uk/19554
  • 51. — web annotation for sensemaking
  • 53. — geospatial mashup of ideas Nodes in the semantic network containing geolocation data can be visualized in Google Maps
  • 54. — timeline viz. mashup of ideas Nodes in the semantic network containing temporal data can be visualized in MIT Simile’s timeline
  • 55. A large scale OER CI exercise: Are you on the map? (whose map?...)   120 OER project reports from Hewlett Foundation   What is the evidence base around OER impact?   What are the unresolved questions that help set the roadmap?   Reports analysed by OER researchers and via computational linguistics engine… …feeding into a set of multi-dimensional interactive knowledge maps   To be shared with the OER community Spring 2011, inviting mass participation to update the evidence base, and create a living conversation, generating dynamic maps that we can collectively own 55
  • 56. Sustainability  Resilience  Resilience Thinking  Resilience Platforms  OER Threats/Opps  OER Collective Intelligence 56 Complexity Summary
  • 57. In more detail… articles, books, news, movies, software, community… 57 http://cohere.open.ac.uk http://projects.kmi.open.ac.uk/hyperdiscourse http://OLnet.org