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Learning Across Sites: New tools, infrastructures and practices - Earli

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For EARLI members only.<br />

Not for onward distribution.<br />

Noticing the past to manage the future 123<br />

An interesting feature of the work of support units is that services such as troubleshooting,<br />

monitoring <strong>and</strong> repair of systems in many cases are possible to carry<br />

out at a distance. The physical localization of the support is thus not dependent on<br />

proximity to clients. Hence, technology becomes both the substance of professional<br />

knowing <strong>and</strong> skills, <strong>and</strong> the means through which services are delivered. For the<br />

operations of such units, problem- solving is at the core of the activities <strong>and</strong> such<br />

skills are decisive elements of the competence needed. The number of possible<br />

problems <strong>and</strong> disturbances are almost infinite in this environment. Members of<br />

helpdesk teams thus continuously have to be prepared for the unexpected.<br />

The overall aim of the empirical study to be reported in the following is to document<br />

<strong>and</strong> analyze how an IT helpdesk team operates in its everyday practice, <strong>and</strong><br />

how members develop <strong>and</strong> maintain collective <strong>and</strong> individual knowing. The kind<br />

of work they engage in requires not only that they learn how different <strong>tools</strong> <strong>and</strong><br />

technologies function, but they must also learn how to use them flexibly in the<br />

practical course of coordinating communication <strong>and</strong> collective action to accomplish<br />

their tasks. <strong>New</strong> hardware <strong>and</strong> software are, as well as updates, also introduced<br />

at irregular intervals. Since problem- solving is the core activity in this kind of<br />

setting, continuous learning is a necessity for achieving continuity. To paraphrase<br />

Wittgenstein, the members of the team we have studied have to underst<strong>and</strong> in<br />

order to know “how to go on.” In the following we will present our theoretical<br />

premises <strong>and</strong> summarize some previous studies that focus on the organization of<br />

knowing in complex, high- technology work settings of this kind.<br />

On the social organization of knowing<br />

From a sociocultural perspective, processes of learning <strong>and</strong> knowing are analyzed<br />

at the intersection of individual <strong>and</strong> collective action (Wenger, 1998; Säljö,<br />

2005). <strong>Learning</strong> is seen as an emergent property of involvement in social <strong>practices</strong>.<br />

Collective knowing is embedded in, <strong>and</strong> mediated through, language <strong>and</strong> the artifacts<br />

used in a specific practice (Vygotsky, 1986; Vološinov, 1973; Wertsch, 1998).<br />

Knowing is thus dependent on familiarity with material semiotic <strong>tools</strong> (Olesen &<br />

Markussen, 2003) available in technologies, classification <strong>tools</strong> <strong>and</strong> administrative<br />

routines (Mäkitalo & Säljö, 2002).<br />

In the helpdesk studied here, the kinds of queries <strong>and</strong> failures the team has to<br />

attend to are very diverse. The products they support are complex <strong>and</strong> a high<br />

degree of unpredictability characterizes the work. In such a situation, the building<br />

up of collective knowing is essential. <strong>Earli</strong>er incidents <strong>and</strong> interventions must<br />

be remembered <strong>and</strong> made available to team members, <strong>and</strong> new experiences have<br />

to be documented <strong>and</strong> kept within the system. Such collective organization of<br />

knowing in teamwork is the focus of the work by, for instance, Hutchins <strong>and</strong> his<br />

colleagues (Hutchins, 1993; Hutchins & Klausen, 1998). In these studies issues<br />

of how problems are solved collectively through mobilization <strong>and</strong> coordination<br />

of knowing in complex activities have been explored, such as when navigating<br />

on board naval ships <strong>and</strong> when flying an aircraft. In such settings, the functional

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