Following up on a series of workshop at several conferences (CSCL, ICLS, LAK), the focus of this workshop is on the potential benefits and challenges of using specific computational methods to analyze interactions in networked learning environments. The workshop is designed for researchers interested in analytical studies of collaborative and networked learning in socio-technical networks, using data-intensive computational methods of analysis (including social-network analysis, log-file analysis, information extraction and data mining). The workshop may also be of interest to pedagogical professionals and educational decision makers who want to evaluate the potential of learning analytics techniques to better inform their decisions regarding learning in technology-rich environments.

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