Main Article Content
While e-learning platforms pay much attention to tracing and readability of data and to interoperability standards, in the more speciﬁc ﬁeld of CSCL critical elements remain unsolved in this regard: even if data are traced, they cannot be always easily read and consequently processed or exported for analysis purposes with other software (statistics, etc.).
Synergeia, a well-known environment for net collaborative learning born of a European project, though allowing the tracing of users’ interactions, does not allow the extraction of this information for quantitative analyses or for the exportation outside the platform. This contribution, moving from experiences realized with this software in a university context,
shows a specific tool (Slm – Synegeia Log Miner) which has been realized to extract important data for the monitoring and consequent evaluation of net collaborative interactions. The ﬁtting of the speciﬁc tool is also the occasion to reﬂect on the indicators to be selected and on the interoperability perspectives linked to the format of this kind of data, through the identiﬁcation of a generic data structure suitable for representing interactions in this sort of systems.
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