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Web-based Learning Solutions for Communities of Practice

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it into the discussion. This means that resources<br />

may at a later point be obsolete or characterized as<br />

unimportant by the group. Furthermore, resources<br />

may even change their role in the progress <strong>of</strong> the<br />

discussion and can be trans<strong>for</strong>med from ideas<br />

to positions and vice versa. As the collaboration<br />

proceeds, more resources are available to the<br />

collaborating group.<br />

Yet, as the number <strong>of</strong> resources increases, the<br />

complexity <strong>of</strong> the collaboration space becomes a<br />

serious problem. This complexity is characterized<br />

by the ef<strong>for</strong>ts required to keep track and follow<br />

all the events <strong>of</strong> the collaboration in order to<br />

understand the available resources and relate<br />

them to the issue being discussed. In such situations,<br />

users adopt practices similar to those <strong>of</strong><br />

experienced analysts: they must understand how<br />

the resources add up, explore alternative explanations<br />

and interpretations, engaging in the process<br />

<strong>of</strong> “in<strong>for</strong>mation triage” (Marshall & Shipman,<br />

1997). The term “in<strong>for</strong>mation triage” refers to the<br />

process <strong>of</strong> sorting the available resources, interact<br />

with them on the space in an attempt to interpret,<br />

recast, interrelate and organize them into larger<br />

structures to facilitate understanding and meet the<br />

needs <strong>of</strong> the task at hand..<br />

The process <strong>of</strong> reorganizing existing resources<br />

proceeds in an incremental manner. Usually,<br />

each user conducts small changes to the collaboration<br />

space, affecting only a small part <strong>of</strong><br />

the resources. While individual interactions have<br />

local consequences, they have a global impact<br />

on the understanding <strong>of</strong> the collaboration space<br />

as they accumulate over time. This results in<br />

trans<strong>for</strong>ming individual resources to something<br />

that is consequential <strong>for</strong> the task at hand and is<br />

referred to as sense-making (Cox & Greenberg,<br />

2000). Hence, in argumentative collaboration<br />

sense-making does not happen automatically but<br />

rather emerges naturally as a consequence <strong>of</strong> the<br />

anticipated users interactions and modifications <strong>of</strong><br />

the resources available in the collaborative space.<br />

In this context, the term emergence is used to<br />

denote the way semantics arises and <strong>for</strong>ms from<br />

132<br />

From ‘Collecting’ to ‘Deciding’<br />

relatively simple interactions such as changing<br />

the type and role <strong>of</strong> individual resources, relating<br />

and grouping the resources <strong>of</strong> the collaboration<br />

space. Research in CSCW has already outlined<br />

criteria with which collaborative environments<br />

can be characterized with respect to their ability<br />

to support emergence. These include (Edmonds<br />

et al., 1998): (a) arranging and spatial reasoning,<br />

(b) implicit structuring and (c) sketching.<br />

As the shared collaboration space emerges<br />

towards sense-making, the entire collaboration<br />

emerges towards the decision to be made. Hence,<br />

a second level <strong>of</strong> emergence is in action. This<br />

<strong>for</strong>m <strong>of</strong> emergence occurs only if the collaboration<br />

activity reached a state where sense-making<br />

has been achieved. The recognition <strong>of</strong> this kind<br />

<strong>of</strong> emergence gives the ability to reconsider the<br />

outcomes <strong>of</strong> the sense-making process in new<br />

contexts, such as the <strong>for</strong>mal exploitation <strong>of</strong> collaboration<br />

items patterns, and the deployment <strong>of</strong><br />

appropriate <strong>for</strong>mal argumentation and reasoning<br />

mechanisms.<br />

EXISTING SYSTEMS<br />

Background Work<br />

All existing argumentative collaboration systems<br />

provide means to support the kind <strong>of</strong> emergence<br />

outlined previously. Yet, they differ in the degree<br />

they support emergence and in particular whether<br />

they succeed in making the emergent semantics<br />

explicitly within the system (and thus system<br />

understandable) or not.<br />

E-mail, chat and <strong>Web</strong> <strong>based</strong> <strong>for</strong>ums are representatives<br />

<strong>of</strong> the most basic argumentative<br />

collaboration environments as they support only<br />

a limited <strong>for</strong>m <strong>of</strong> emergent structures. In these<br />

systems, the processing <strong>of</strong> resources, such as<br />

their interrelation, grouping, summarization and<br />

interpretation with which emergence towards<br />

sense-making is achieved, occurs mainly in the<br />

mind <strong>of</strong> each individual and is not being able to

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