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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 />

Differences that make a difference 367<br />

might say a lot concerning the effectiveness of an intervention, the intervention<br />

itself has to be investigated in order to gain certain insights that are useful to its<br />

design.<br />

Among science <strong>and</strong> mathematics educators, these <strong>and</strong> similar arguments have<br />

resulted in a number of projects that address the relation between detailed investigations<br />

of interaction <strong>and</strong> educational design. In a series of early studies, relevant to<br />

our study, Roschelle investigates a <strong>New</strong>tonian microworld simulating velocity <strong>and</strong><br />

acceleration. Roschelle (1990) presents <strong>and</strong> discusses a number of principles that<br />

have guided the design of the technology, including an overall metaphor of scientific<br />

visualization, a specific emphasis on epistemic fidelity, extending engagement<br />

with the problematic situation, supporting focus <strong>and</strong> context, enabling communicative<br />

action <strong>and</strong> learning by doing. Despite these careful considerations, he<br />

later notes that, “only 6 of 14 students converged on explanations that were like<br />

scientists explanations” (Roschelle, 1992, p. 241). Focusing on a single case where<br />

two of these six “successful” students were working with the microworld, Roschelle<br />

asks, “How can two (or more) people construct shared meanings for conversations,<br />

concepts, <strong>and</strong> experiences” (ibid., p. 236). By analyzing the interaction,<br />

he shows how the students’ achieve what he calls a convergent conceptual change<br />

even though they did not present articulations in the form of scientific definitions<br />

such as “acceleration is the derivative of velocity with respect to time.” Instead of<br />

talking in versions of textbook science, the students’ interaction was filled with<br />

utterances such as the following, “Ooh, you know what I think it is It’s like the<br />

line. Fat arrow is the line of where it pulls that down. Like see how that makes<br />

this dotted line. That was the black arrow. It pulls it.” (ibid., p. 244). Without<br />

access to what the students are doing or the graphical symbols referred to, these<br />

utterances lose their meaning. It is hard to see that they are talking about physics<br />

at all. Despite this, Roschelle argues that this kind of discussion is important for<br />

the students’ convergent conceptual change. In fact, he notes that this particular<br />

utterance contains a key phrase “it pulls it,” which is present in the interaction of<br />

successful groups <strong>and</strong> absent in the unsuccessful groups. Thus, utterances like the<br />

one above are used as examples of productive ways of reasoning in the lab.<br />

Analytical approach <strong>and</strong> research methods<br />

While Roschelle investigated several students working with one particular technology,<br />

<strong>and</strong> to some extent divided the students into successful <strong>and</strong> unsuccessful<br />

ones, we are interested in contrasting the local enactments of two technologies. In<br />

contrasting activities afforded by probeware <strong>and</strong> Graphs & Tracks, we do not claim<br />

that the technologies force the students work in certain ways: we do not argue for<br />

any version of technological determinism. Nevertheless, the local organization of<br />

the students’ practical actions <strong>and</strong> practical reasoning – when using probeware <strong>and</strong><br />

Graphs & Tracks respectively – were relatively uniform, which makes it possible<br />

to uncover, describe <strong>and</strong> analyze some of the differences between the investigated<br />

settings. In the analysis, we draw on a corpus of studies that are conducted under

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