Connecting levels and methods of analysis in networked learning communities

Authors:
Daniel D. Suthers;H. Ulrich Hoppe;Maarten de Laat;Simon Buckingham Shum
Affiliations:
University of Hawai'i, Honolulu;University of Duisburg-Essen, Germany;Open University, Heerlen, NL;Open University, Milton Keynes, UK
Venue:
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Year:
2012

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Abstract

This paper describes the rationale behind a workshop on using data-intensive computational methods of analysis for empirical-analytical studies of collaborative and networked learning, with a particular focus on how learning takes place in the technically-mediated interplay between individual, small group and collective levels of agency. This workshop is primarily designed for researchers interested in empirical-analytical studies using data-intensive computational methods of analysis (including social-network analysis, log-file analysis, data mining, video analysis).