Abstract: Knowledge Cartography is
the discipline of visually mapping the conceptual structure of
ideas, such as the connections between issues, concepts, answers,
arguments and evidence. The cognitive process of externalising
one's understanding clarifies
one's own grasp of the situation, as well as
communicating it to others as a network that invites their
contributions. This sensemaking activity lies at the heart of the
Open Educational Resources movement's
objectives. The aim of this paper is to describe the usage patterns
of Compendium, a knowledge mapping tool from the OpenLearn OER
project, using quantitative data from interaction logs and
qualitative data from knowledge maps, forums and blog postings.
This work explains nine roles played by maps in OpenLearn, and
discusses some of the benefits and adoption obstacles, which
motivate our ongoing work.
Keywords: Sensemaking, open content, knowledge
mapping
Interactive
Demonstration: Examples and downloads for the
Compendium software can be found on the OpenLearn site
http:/www.open.ac.uk/openlearn.
-
1Introduction
By analogy to the discipline
of spatial cartography, knowledge
cartography (Okada et al, 2008) aims to provide an
aerial view of a topic by
highlighting key elements and connections. Moreover, just as
spatial maps simplify the world and can fuel controversy, maps of
conceptual worlds provide vehicles for summarising and negotiating
meaning. When we start mapping intellectual landscapes, we are
structuring the way that we think and communicate knowledge
graphically. Computer-supported knowledge mapping is one way to
help people reflect on what they are thinking, and to sharpen the
focus of their contributions.
People spatialise the
world of ideas all the time, but they currently lack
infrastructures for large scale, structured discourse and
visualization. The web has
evolved from HTML quite dramatically over the last few years with
advanced techniques for content and structural modelling enriched
with semantic and structural features (Geroimenko and Chen, 2002).
Our research is working towards a social-semantic web environment
for educators and learners to weave and contest collaboratively
network of ideas through knowledge maps. Our thesis is that
knowledge mapping thus has a central role to play in weaving
narrative connections between OERs. In conjunction with the UK Open
Universitys Open Educational Resources
OpenLearn project, our investigation
focuses on the role of knowledge maps for both learners and
educators to share and debate interpretations.
This paper is organised as
follows. We start by motivating the need for seeking coherent
patterns in an ambiguous information ocean of learning materials
and information. In this context, we introduce the idea of open
sensemaking communities and two knowledge mapping tools: Compendium
(the primary focus of this paper) and a new Web 2.0 tool, Cohere.
We analyse some examples of Compendiums OER
applications, and consider some of the difficulties we have seen,
before concluding with directions for future research.
-
2Seeking coherent patterns in an
ambiguous information ocean
OpenLearn
[www.open.ac.uk/openlearn] is the UK Open
Universitys OER project launched
in October 2006, publishing thousands of hours of distance learning
materials on the Web for free access and remixing under a Creative
Commons license. Designed originally for students paying for tutor-
and peer-supported distance learning, the materials are structured
from the start to promote critical reflection on the part of the
learner. In an open learning context, however, learners do not have
ready access to an expert tutor or cohort of peers, and may be
drawing on diverse other OERs, blogs, wikis, newsfeeds and so
forth, some of which may be superior, complementary, contradictory,
or of dubious authority. So while there is strong
intra-unit
structure embedded in the pedagogical narrative of a given OER,
which the learner must critique and internalise, the weaker
inter-unit structure must be
constructed by the learner, or in conjunction with others, as they
seek to integrate understanding across OERs and the universe of
other information sources. What support for managing this
information ocean can we provide in the learning environment in
which our OERs are embedded, in order to move learners towards
knowledge construction and negotiation? Users need intuitive,
powerful tools to manage, share, analyse and track information,
ideas, arguments and the connections between them.
Our
specific concern within OpenLearn is to investigate support for
what we call Open Sensemaking Communities [www.kmi.open.ac.uk/projects/osc: Buckingham Shum, 2005], a concept
we are using to investigate designing for
sensemaking: embedding OERs in an
environment that supports end-users (both learners and educators)
in engaging more deeply with the material and with each other in
self-organising communities of interest. The focus on
[sense][making] reflects
Karl Weicks formative work on
giving shape and form to interpretations, and the
individuals/communities articulating them:
Sensemaking is about such things as placement
of items into frameworks, comprehending, redressing surprise,
constructing meaning, interacting in pursuit of mutual
understanding, and patterning. (Weick, 1995,
p.6)
Weick (1995) points out that
sensemaking comprises what people do in socially complex
situations, when confonted by incomplete evidence and competing
interpretations. The degree of uncertainty around learning will of
course vary depending on the learners ability,
the learning objective, the complexity of the material, and to a
degree, the discipline (e.g. there are harder
truths in the sciences than
in the humanities). However, the point is that when there is
uncertainty, what else is there to do but through discourse,
construct a narrative to fill in the gaps?
The point we want to make
here is that sensemaking is about plausibility, coherence and
reasonableness. Sensemaking is about accounts that are socially
acceptable and credible. [] It would be nice
if these accounts were also accurate. But in an equivocal,
postmodern world, infused with the politics of interpretation and
conflicting interests and inhabited by people with multiple
shifting identities, and obsession with accuracy seems fruitless,
and not much practical help, either. (Weick, 1995, p.61)
A primary challenge is
to assist self-organising learners and educators in assessing,
extending and contesting OERs. This requires access not only to
the text, but also to
the context (e.g.
annotations, argumentation, and the people behind them). This
rationale shapes the selection of the social and conceptual
networking software tools that we are evolving, which are designed
to make visible and manipulable the connections between ideas, and
between the people behind them. What will sensemaking
infrastructure enable us to do for intellectual landscapes over
OERs?
-
3Knowledge Mapping
The learning sciences
and collaborative learning technology literatures provide a growing
body of evidence on the value of diagrammatic representations of
ideas in promoting meaningful learning about a domain. We refer,
for instance, to Novaks (1998) formative work
on Concept Mapping, Suthers (2008) work on
diagrammatic versus other external representations in scientific
inquiry, and the interest in the pedagogical and sensemaking
affordances of discourse-oriented mapping techniques that scaffold
deliberations in a structured way, under the headings of Argument
Maps and Dialogue Maps. The significance of these and other
approaches are reflected in several recent collections (Andriessen
et al, 2003; Kirschner et al, 2003; Conklin, 2006; Okada, et al,
2008), and forums dedicated to Concept Mapping and Argument
Visualization. While learners can sketch
these graphical schemes on paper, software tools open up all the
possibilies of repeated editing, linking, embedded multimedia and
sharing. We refer to this broad spectrum of approaches
to mapping as Knowledge Cartography
(Okada et al, 2008), placing particular emphasis on digital representations specifically
designed to:
-
1.Clarify the intellectual
moves and commitments at different levels. (e.g. Which concepts are seen as more abstract? What
relationships are legitimate? What are the key issues? What
evidence is being appealed to?)

-
2.Incorporate further
contributions from others, whether in agreement or not.
The map is not closed, but rather, has
affordances designed to make it easy for others to extend and
restructure it.
-
3.Provoke, mediate, capture
and improve constructive discourse.
This is central to sensemaking in unfamiliar or contested
domains, in which the primary challenge is to construct plausible
narratives about how the world was, is, or might be, often in the
absence of complete, unambiguous data.
Building on this
conceptual foundation, we have integrated two knowledge mapping
tools, Compendium and Cohere, into the OpenLearn platform which is
the open source Moodle system [http://moodle.org] as
summarised in Table 1. The LabSpace
refers to the experimental zone where new tools were
initially released, before migrating into the LearningSpace where most users go (by a factor
of about 10:1). However, this paper focuses on knowledge maps
created in Compendium because Cohere was launched
recently.
Table 1: OpenLearn Knowledge
Mapping Tools - Compendium and Cohere
Launched
|
Tool
|
Feature
|
Users
|
Sharing
|
Map views
|
Oct 2006
(LabSpace)
May 2007
(LearningSpace)
|
Compendium
|
open source desktop
application
|
single
|
by uploading maps, which can be
downloaded for editing offline
|
crafted manually by the
user
|
Sept 2007
(LabSpace)
Jan 2008
(LearningSpace)
|
Cohere
|
social web application
|
multiple
|
by making maps public, which
can be viewed and edited in the web browser
|
automatically laid out
|
-
3..1Compendium
The
OUs Compendium
tool provides a visual user interface
for users (e.g. learners, educators or software developers) to
cluster, connect and tag icons representing issues, ideas,
concepts, arguments, websites or any media document. They can use
this to represent their personal reflections as they study or work
on a problem, or share their maps with others. Knowledge maps can
be useful as a summary of a topic, or to share a learning path
through the maze of the Web. Text, images, URLs, documents and
ideas can be dragged and dropped into a map and connected. The
Knowledge Mapping QuickStart Guide and welcome
screencasts demonstrate this. In addition to
Compendium, we have also released open source the code enabling
system administrators to add the Knowledge Map block to their own
Moodle installations, with the facilities to upload and download
maps linked to a given course, plus administrator logs.

Figure 1.
Compendiums user interface for linking issues,
ideas, arguments and documents.
This example illustrates how
to create a map in Compendium using dialogue mapping
technique:
-
1.Drag and drop a
question-icon
from
the palette onto the map and type a key issue,
problem, or question.
-
2.Create new nodes such
as
for answers,
concepts or data;
for
arguments, choices or possibilities;
for supporting arguments;
for counterarguments.
If you want to make connections over the icon with the right button
of the mouse, drag then an arrow will appear and drop it onto the
other icon.
-
3.Pictures, sites and
documents from the web can be added into this map, dragging and
dropping the media resource.
The features of Compendium for
OpenLearn are:
-
-
Simplified
user interface removing the more advanced features (which can be
turned back on if required)
-
Knowledge
Maps Web export integrating HTML interactive Web Maps and Outline
views, JPEG images, and XML that can be uploaded to Moodle and
automatically linked with a unit.5
-
Web URLs
dragged from OpenLearn or other Hewlett OER projects into
Compendium are recognised, and assigned the source
sites logo
-
Users can
categorize each node using a tag
interface. Through keywords or short phrases they can filter them
based on tag combinations.
-
Users can
browse and exchange maps from Knowledge Mapping Moodle block

-
4Analysing the uses of Compendium and
knowledge maps in the OpenLearn
Diagnostic reports of
Compendium downloads, and map uploads/downloads are generated as
part of the Moodle Knowledge Map block in the LabSpace and
LearningSpace. The table2 indicates 3413
downloads of the Compendium tool by OpenLearn users from October
2006 to December 2007. Although the tool was integrated six months
earlier In the LabSpace than in the LearningSpace, the number of
users who downloaded the tool in the LearningSpace is 22%
higher, in part from the different internal OU
communities as shown below, but largely from
elsewhere.
Table 2 "
Compendium software tool downloads
Graphs 1 and 2 confirm that
the number of Compendium software application downloads has been
higher in the LearningSpace than in the LabSpace since May 2007,
when the knowledge maps block was integrated in the LearningSpace
(note that the Y-axis scales differ slightly between the two
graphs).
However, Table 3 shows that
the number of knowledge maps uploaded (53) in the LearningSpace has
been much lower than in the LabSpace (189). Although 2090
OpenLearners installed Compendium, only 17 users uploaded 53 maps
in the LearningSpace.
Table 3: Summary of most
popular units with Knowledge Maps uploaded and downloaded
Table 3 also highlights that
the communities of collaborators in the LabSpace who have been
using Compendium more frequently for uploading and downloading
knowledge maps (e.g. units 1456, 2623, 2053 and 2487). However, in
the LearningSpace, there are few OER which present some knowledge
maps uploaded. The most popular units for downloading maps are
Knowledge Mapping QuickStart Guide (116) and Epoch Psychology
history timeline (206).
The application download
figures reflect an encouraging level of interest in the tool,
although given the established role of concept and mind mapping
tools within learning and business, we are not surprised that a
free tool offered by the OU which was quite widely blogged
" and which already had an active community prior to
OpenLearn (currently >35,000 downloads) " should
prove popular.
What we are not yet
seeing is large scale uploading of maps, with only 242 maps,
largely from OU staff, and OpenLearn project members and partner
organisations. This relatively low level of public activity
(mirrored with other tools) suggests that while technically
literate open learners may be relatively quick to test personal
tools they can install on their own machines (downloads of
Compendium), there is a further threshold to cross before isolated
learners who do not know each other see a need, or feel confident,
to share maps. We do not find this surprising. Firstly, we know in
principle that it takes time for learners to digest new material,
build confidence with new tools, and find peers. Moreover, our
recent surveys of OpenLearners indicate that by far the majority
are attracted in the first instance by the free OER units, and
intend to work on their own. It is clear from the higher levels of
usage in the LabSpace that, at least in these early stages, what
energises the sharing of maps is the mediating sociotechnical infrastructure of a
project to which participants are already committed. The
participants are either already interested in knowledge mapping, or
the project actively encourages the use of knowledge maps.

-
5Analysing Compendium knowledge maps
applications in the OpenLearn
From the 242 knowledge maps
uploaded, we have selected nine examples for closer discussion,
which cover all of Compendiums uses to date:
organising a conceptual study, generating a brainstorm of existing
knowledge, representing a learning path, organising a course
module, creating a new OER, structuring a hypermedia OER,
developing a learning activity, engaging in learning design, and
managing a research project.
-
5.1Organising a conceptual
study
Figure 2 shows a Concept
Map in the LabSpace designed by a student which selected key
concepts from the OER unit (U074_1: Key skill assessment unit:
information Literacy). This concept map presents eighteen keywords
from different pages of this unit, which were connected in order to
describe their meaning. Novak (1998: 24) points out
the more we learn and
organise knowledge in a given domain the easier it is acquire and
use new knowledge in that domain. When
students structure relevant knowledge from an OER through concept
maps, they might recall and apply what they learn easily and
quickly. When they know little about that OpenLearn unit and what
they know is poorly organised they might face more difficulties to
study on their own and it might probably take more
time.
Figure 2:
Studying the arts and humanities through a Concept
Map

Sharing concept maps can be
useful strategy for recording what was studied, continuing later
and accessing the content any time. Other OpenLearners interested
in the same topic (e.g. media literacy) can also access this map
within their web browser, see keyconcepts and get more information
by reading their source. For instance, in Figure 2, users can click
on the key concept effective use of
information (number 2 in red) and page 6 will be
automatically selected - Effective use of
information literacy skills.
-
5.2Generating a brainstorm of existing
knowledge
Figure 3 was created by
a participant of a learning community in Guyana, in the LabSpace.
Through this mindmap, the participant presented a brainstorm about
How we learn, bringing different
ideas to the OpenLearn unit LDT101_3 - Learning how to
learn. Although the map has the same title, its
content is not related to this unit, what suggested that the
participant has not seen LDT101_3.
However, mapping
thoughts before studying an OER can be a useful strategy for
identifying existing knowledge. Organising a brainstorm through
mind maps before learning more about a topic can help students to
generate significant ideas and identify their initial interests and
hypothesis. Novak (1998, 33) explains that
working with
generative words that have significance and meaning in the life of
the learner leads to the learners control over
the acquisition and use of knew
knowledge. In open education where
students must be good self-learners, representing well-organised
prior knowledge empowers them to become autonomous in their process
of learning.

Figure2.
Studying the arts and humanities through a knowledge
map
- How do we learn -
OpenUniv-Guyana Collaboration
(Natural resource management in wetland
systems)
-
5.3Representing a Learning
path
The map in Figure 3 was
developed by an OpenLearn student registered in the unit
A207_5 -
French Revolution. On the
left, he created a sequence of seven topics which represents the
main sections in this unit. He dragged and dropped the
OpenLearn website represented by the green icon , which spawned
four questions. He added external references such as some Wikipedia
pages, which explains some of key concepts in this unit. He also
selected some notes from the websites, which were placed in the
detail of nine nodes.
Figure 3. A map on the
OpenLearn unit on the French revolution, plus related
resources
Table 4 shows that this
student uploaded three maps in the LearningSpace from September to
December. During this period, he wrote three comments in his
Learning Journal (Moodles blogging tool), which
suggest three contributions of knowledge maps
-
1.outlining a course in order
to summarise the whole unit;
-
2.making your own notes to
help understand the content;
-
3.including external
references to expand reading.
Table 4:
Knowledge Map block and Learning Journal about French
Revolution

-
3..4Planning a Course module
Another kind of representation
is a Course Module Map, where educators offer a sequence of OERs
significant to a learner to attend their specific needs. This map
is also a learning path map which integrates several units. A
course module map may offer an interesting group of reference nodes
hyperlinked to activities or content from the OpenLearn OERs. It
may represent an organised structure showing prerequisite
knowledge, learning objectives and estimated study hours.
The map in figure 4 was
created by a teacher interested in Information Literacy. It
includes seven OpenLearn units and two additional OERs from MIT
Open courseware and Connexions. These nine learning materials were
organised in five levels (columns). Students can follow
this sequence by starting with Information
Literacy and then Learning how to
Learn. Depending on their interests they can choose
either Computer for study, or
Online Learning. They can then
study other units for Developing Skills, such as,
Interpersonal Skills,
Thinking Skills and
Good Writing.
Compendium thus
provides a visual authoring tool for the rapid (re)sequencing of
learning resources, a form of high level
remixing of the
OUs OERs. The teaching path map provides
non-technical educators with a way to quickly drag and drop
websites, documents and media clips into a map, link them and
publish them.
Figure4.
Teaching path map

-
3..5Creating a new OER
Compendium provides a visual
authoring tool for the rapid (re)sequencing of learning resources,
a form of high level remixing of
the OUs OERs. It means that other teachers with
similar interests can download this map and make changes by
deleting or adding new learning materials. The course outline map
provides non-technical educators with a way to quickly drag and
drop websites, documents and media clips into a map, link them and
publish them.
Figure 5 shows a
course outline map created by an
OpenLearn collaborator from the Guyana Community in the LabSpace.
Through this map, students can access seventeen maps on the left,
which present information about the course and learning materials
on the right. They can also open two word documents about learning
outcomes and introduction.
Figure 5. Course outline map
created in the LabSpace
-
3..6Structuring a Hypermedia
OER
Compendium has been used to
create hypermedia OERs, Web versions of interactive resources
providing multiple paths through multimedia information spaces. One
of these projects is the EPoCH resource on the history of
psychology, illustrated in Figure 6 which presents three maps: 1. a
timeline map, 2. a psychologists overview map, and 3. a
psychologists profile map showing their
contributions to the field classified by methods, perspectives,
topics, contexts and influences.
EPoCH - Exploring
Psychologys Context and History is a
substantial content-based resource developed in Compendium
containing extensive psychology based subject information including
text, video, images and audio. It presents biographical details of
100 psychologists as well as descriptions and links between
psychology methods, contexts, perspectives and topics. Epoch maps
enable OpenLearn users to explore the development of psychological
thinking across time and also within different perspectives,
methodologies, social and historical context.
-
3..7Developing a learning
activity
Figure 7 shows a Knowledge Map
about e-democracy created by a social science lecturer who used
EPoCH to collect some references. He developed this dialogue map
(raising issues, posting responses and linking resources) in order
to structure ideas for writing an essay related to e-democracy.
This map shows three sessions: 1. How councils
engage local residents offline, 2. How councils
implement e-democracy and 3. How to measure
effectiveness of e-democracy. These sessions
might guide writers to organise their paragraphs. This map can be
downloaded by other educators and used with their students.
Teachers can invite their colleagues to plan and share different
kinds of learning activities such as exploring references from this
map, comparing different theoretical approaches through concept
maps, writing an essay through a mind map of key sentences
structured by groups of paragraphs.
Figure 7.
E-democracy organising ideas for writing an essay

-
3..8Implementing Learning
Design
Knowledge mapping has also
been useful for learning design. In the LabSpace. Compendium has
been used by academics at the Open University to design online
courses. Conole (2008) reports that in workshops with OU faculty,
Compendium provided an intuitive interface to represent different
learning designs by bringing together both narrative accounts of
learning designs with notational maps showing the design visually.
For instance, the map in figure 8 shows a wiki activity for a
course designed using Compendium. This learning design map shows
the connections between student and tutors
roles along with their respective tasks which are also associated
with assets, tools, resources and outputs.
Figure 8 -
Wiki based group project created by Grinne
Conole

-
3..9Managing a Research
Project
OpenLearn research team and
some communities of collaborators have been using Compendium for
planning, implementing and evaluating research projects. Knowledge
maps have been useful for structuring and visualising connections
between steps or components in different stages of a research. Some
examples can be found in two areas in the LabSpace: Collaborators
and Research.
The map in Figure 9 was
created by an OpenLearn collaborator from the ProTeach Community in
Italy. The purpose of this map is to organise a survey as part of a
research project. This map shows a brainstorm of ten questions for
interviewing tutors. It also includes next steps: planning
questionnaires for interviewing students, discussing collaborative
forum in Moodle and monitoring the use of FlashMeeting.
Figure 9"
Managing the project
-
6Analysing knowledge maps contributions
and problems
From postings to the
discussion forums, we can identify some benefits related to
knowledge mapping. OpenLearners record that Compendium was useful
for
-
1.Condensing high volumes of
information
Compendium seems user friendly
and useful to condense high volumes of information
-message posted in the LearningSpace on
the 11/10/2008.
-
2.Making your own
notes
Finished
reading section 2 of FR module, making notes on Compendium as I go
- learning a lot! -
message posted in the LearningSpace on the
14/09/2007.
-
3.Connecting ideas to
familiar references
After reading sections
1 and 2 and mapping them with Compendium I can note the
pleasure of having the ideas connected to familiar
references
- message posted in the
LearningSpace on the 03/12/2007.
-
4.Controlling thinking and
writing
Got myself a new
computer and am trying to learn how to use Knowledge mapping on it
- using KM and Compendium to 'control' all my
thinking and writing -
message posted in the LearningSpace on the
28/09/2007.
-
5.Understanding the content
of OER.
Have just
posted two KM on the Critical Thinking site - thought it might be
useful/interesting to people to see how I am trying to use KM not
at the end of a course but to take notes and to develop
understanding of the material. - message posted in the
LearningSpace on the 28/09/2007.

-
6.Gaining insight into a
students thinking
This map was a treat, very complicated,
with all sorts of crossing arrows and symbols all over the
place. (a tutor
describing a students map) - message posted in the LabSpace on
the 15/06/2007
The most significant comment
that we have found that identifies an area of weakness relates to a
concept about which we have written elsewhere, namely,
cartographic literacy (e.g.
Buckingham Shum, 2003; Selvin 2008), but which we have not sought
yet to address explicitly in our guidance within OpenLearn through
a concern to keep the site simple. While a user must first learn
how to operate a tool functionally, at the level of knowing which
button to press to accomplish an operation, true literacy and
fluency with a medium is reflected in a more wholistic appreciation
of its effective use in a meaningful context. Consider this
interesting comment by a tutor trying to engage students to a
collaborative mapping for writing an essay:
How to make it interesting? How to manage
a mindmap? How to make it progress?
- message posted in the
LabSpace on the 07/06/2007
The concern here is with the
aesthetics of maps to promote engagement, and with the process of
managing maps as they evolve. These are more
advanced level topics, which we
are actively researching, and which we will now consider addressing
in OpenLearn.
-
7Conclusions
We have introduced the
rationale for the use Knowledge Cartography tools to support
sensemaking around OERs, providing learners and educators with a
way to make tangible meaningful connections between ideas and
arguments within and across resources. We conceive this as a way to
weave explicit narrative coherence, a way to overlay layers of
meaning on OERs and indeed, the Web at large, and all the offline
resources that learners and educators use (nodes in maps need not
refer to digital, online reources).
We described nine kinds of
knowledge map, playing the following roles:
Helping learners make sense
of OERs:
-
1.conceptual study
map
-
2.brainstorm map
-
3.learning path
map
Helping educators create,
reconstruct and publish learning materials:
-
4.course module
map
-
5.new OER map
-
6.hypermedia OER
map
-
7.learning activity
map
-
8.learning design
map
Helping OpenLearn
collaborators and researchers plan and implement projects:
-
9.research project
map
It is clear that we are not
yet seeing widespread sharing of Compendium maps, and that when
this does occur, it is by groups who already share a social,
intellectual commitment to working with each other. Knowledge maps
then become a way to mediate, capture and reflect on their work.
Because our OpenLearn surveys tell us that individuals come to
OpenLearn primarily for the free OERs, it is not surprising that
they do not as a rule share maps " or indeed, engage
in a lot of social online activity.
This raises a number of
questions that we are now pursuing:
Private use
of Compendium. We will be investigating the extent to
which individuals are using Compendium privately. The evidence of
OpenLearners blog and forum postings is that at
least some of them are finding it useful, but clearly, others
downloaded the application, perhaps played a little with it, but
took it no further. A web survey with follow-up interviews will
soon be conducted.

Compendium
usage by existing teams/networks. In parallel, we
continue to work with several OpenLearn partner
organisations/networks, facilitating the embedding of these and
related collaboration tools (Okad et al 2007) into their work
practices, and studying their usage patterns.
Web 2.0 to
reduce overheads of adoption. The willingness of Web
2.0 users to add FaceBook applications, HTML snippets and other
JavaScript widgets to their websites points to a cost-benefit
threshold that non-technical users can and do choose to negotiate.
A Web 2.0 application which removes the need to install software by
delivering maps via directly the Web browser, and makes it possible
to embed interactive maps within OERs, may lower the entry
threshold, and promote knowledge map creation and sharing. Cohere
[cohereweb.net] is a web application
released in January 2008 in the main LearningSpace area of
OpenLearn. Cohere uses an interface metaphor of
making meaningful connections between
ideas. Those structures might be seeded from uploaded
Compendium maps, from tags in social bookmark RSS feeds, existing
blog postings, or ideas and connections manually entered by the
user. Cohere provides search and visualization tools across
multiple maps from multiple authors. It thus provides us with a
platform to explore the intersection of the Web 2.0 paradigm and
knowledge mapping.
Knowledge
mapping for learning design. Our first
years work focused largely on maps for
learners. As reported above, in conjunction with Conole (2008), we
have begun to consider how OER providers could benefit from visual
templates for constructing Learning Design Patterns.
References
Andriessen, J., Baker, M., Suthers, D. (2003),
Arguing to learn: Confronting cognitions in
computer-supported collaborative learning
environments, Dordrecht: Kluwer Academic
Publishers.
Buckingham
Shum, S. (2003). The Roots to Computer-Supported Argument
Visualization. In: Kirschner, P.A., Buckingham Shum, S. and Carr,
C. (2003). Visualizing
Argumentation. London:
Springer-Verlag.
Conole, G.
(2008, in press). Using Compendium as a Tool to Support the Design
of Learning Activities. In A. Okada, S. Buckingham Shum & T.
Sherborne (Eds.), Knowledge Cartography:
software tools and mapping techniques.
London: Springer-Verlag.
Geroimenko, V. and Chen, C. (2002). Visualizing the Semantic Web: XML-based internet and
information visualization. London:
Springer-Verlag.
Kirschner,
P.A., Buckingham Shum, S. and Carr, C. (2003). Visualizing Argumentation: Software Tools for Collaborative
and Educational Sense-Making. London:
Springer-Verlag. http://www.visualizingargumentation.info
Novak, J.
D. (1998). Learning, Creating, and Using
Knowledge: Concept Maps as Facilitative Tools in Schools and
Corporations. Hillsdale, NJ: Lawrence
Erlbaum Associates.
Okada, A.;
Tomadaki, E.; Buckingham Shum, S. & Scott. P. (2007). Combining
Knowledge Mapping and Videoconferencing for Open Sensemaking
Communities. Open Education
2007, Logan, Utah (Sept. 2007).
http://cosl.usu.edu/events/opened2007
Selvin, A.
(2008, in press). Performing Knowledge Art: Understanding
Collaborative Cartography. In A. Okada, S. Buckingham Shum & T.
Sherborne (Eds.), Knowledge Cartography:
software tools and mapping techniques. London: Springer-Verlag.

Suthers,
D. (2008, in press). Empirical Studies of the Value of Conceptually
Explicit Notations in Collaborative Learning. In A. Okada, S.
Buckingham Shum & T. Sherborne (Eds.), Knowledge Cartography: software tools and mapping
techniques. London:
Springer-Verlag.
Weick, K.
(1995). Sensemaking in
Organizations. Thousand Oaks, CA: Sage
Publications.