Network Logic - Index of
Network Logic - Index of
Network Logic - Index of
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<strong>Network</strong> logic<br />
more trust, which in turn strengthens the network itself. It is arguable<br />
that NWP succeeded because it tapped and refreshed pr<strong>of</strong>essional<br />
trust among the participating teachers.<br />
To say this is not simply to play with words for, if this hypothesis is<br />
correct, there may well be many different ways <strong>of</strong> generating high<br />
levels <strong>of</strong> social capital in addition to those specified in the analysis <strong>of</strong><br />
NWP. The explanation may not lie in particular practices, such as<br />
teachers engaging in writing, but in the fact that here is one activity<br />
that in this particular context helped to generate high social capital.<br />
In a different context – another curriculum subject or another aspect<br />
<strong>of</strong> schooling – very different practices may be successful in generating<br />
the high social capital that allows teachers to learn with and from<br />
their colleagues in a way that benefits their classroom practices.<br />
Indeed, one <strong>of</strong> the things we really do need to untangle is whether<br />
peer-to-peer approaches are always better than expert-to-novice ones<br />
in education, or whether the latter have <strong>of</strong>ten been less successful<br />
because they have lacked a basis <strong>of</strong> social capital. Indeed, expert-tonovice<br />
systems do seem to work in apprenticeship-type relationships<br />
where trust is well established, as documented by Jean Lave and<br />
Etienne Wenger among others. 3 The problem may be not that expertto-novice<br />
approaches are ineluctably destined to failure in the case <strong>of</strong><br />
teachers’ pr<strong>of</strong>essional learning, but that we have missed out <strong>of</strong> our<br />
analysis the key underlying feature, social capital, and mistakenly<br />
assumed that the surface features, the participants’ identities as<br />
experts and novices, are the critical variables that explain the low<br />
success rate.<br />
<strong>Network</strong>s, knowledge management and innovation<br />
This brings us to another aspect <strong>of</strong> the wider conceptual framework<br />
for networks since 1990, namely the dramatic growth <strong>of</strong> interest in<br />
knowledge management and innovation.<br />
From a knowledge management perspective, what we have<br />
traditionally called pr<strong>of</strong>essional learning is very <strong>of</strong>ten a form <strong>of</strong><br />
knowledge creation and knowledge transfer, alternatively conceived as<br />
innovation and the dissemination <strong>of</strong> such innovation. We now<br />
84 Demos