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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 />

178 H. Muukkonen et al.<br />

assigning the sub- problems to teams, after which the teams started planning how<br />

to conduct their study. In the third phase, based on the collected knowledge, the<br />

teams constructed a half- hour presentation to the clients <strong>and</strong> a more extensive hard<br />

copy version. Throughout the phases, the coordination team supervised the other<br />

teams, <strong>and</strong> the research team studied team awareness <strong>and</strong> project- management<br />

issues via questionnaires <strong>and</strong> interviews.<br />

Data collection <strong>and</strong> analysis<br />

The data examined included observation notes of the course meetings <strong>and</strong> lectures,<br />

all database materials from the two virtual- learning environments, self- reflective<br />

questionnaires with open- ended question the students were asked to reply to at<br />

the end of the course, <strong>and</strong> group interviews of the student groups <strong>and</strong> the teachers<br />

in the second case.<br />

Pedagogical <strong>infrastructures</strong><br />

The pedagogical design of the courses was examined using multiple data sources,<br />

partially reconstructed from the teachers’ descriptions, the database structures<br />

<strong>and</strong> materials, <strong>and</strong> observations, following a model from our previous study of<br />

implementing progressive inquiry in university courses (Lakkala, Muukkonen,<br />

Paavola, & Hakkarainen, 2008). Given the basic similarities of the design of the<br />

courses, a set of “how” <strong>and</strong> “what” questions where devised to examine the design<br />

features in general <strong>and</strong> from the point of view of object- orientedness, for example,<br />

“How does technology support object- oriented inquiry” or “How is the work<br />

epistemologically organized around concrete knowledge objects” Three researchers<br />

analyzed the data together in an explorative way to identify the <strong>infrastructures</strong><br />

<strong>and</strong> to describe the actual implementation of technical, social, epistemological,<br />

<strong>and</strong> cognitive <strong>infrastructures</strong> in the course designs.<br />

Shared objects<br />

To examine students groups’ collaboration on shared objects, we had to rely on<br />

the digital artifacts produced in or posted to the two virtual learning environments<br />

(VLEs). The categories were produced according to subtasks for generating<br />

knowledge that the groups were engaged with: in Case I, the categories closely<br />

follow the sub- steps during the progressive inquiry process, but are organized by<br />

types of products that were encountered in the database; in Case II, they are more<br />

directly the outcomes of the sub- tasks assigned to students. Hence, we embarked<br />

upon a categorization that deals with tangible objects. We counted the number<br />

of different types of objects <strong>and</strong> examined their role in the groups’ collaboration.<br />

Particularly, we were interested in the revisions made to different documents <strong>and</strong><br />

the versioning of reports, presentations, <strong>and</strong> conceptualizations. We considered<br />

these as indications of working on shared objects.

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