The authors analyze and compare three models of innovative knowledge communities: Nonaka and Takeuchi's model of knowledge-creation, Engeström's model of expansive learning, and Bereiter's model of knowledge building. Despite basic differences, these models have pertinent features in common: Most fundamentally, they emphasize dynamic processes for transforming prevailing knowledge and practices. Beyond characterizing learning as knowledge acquisition (the acquisition metaphor) and as participation in a social community (the participation metaphor), the authors of this article distinguish a third aspect: learning (and intelligent activity in general) as knowledge creation (the knowledge-creation metaphor). This approach focuses on investigating mediated processes of knowledge creation that have become especially important in a knowledge society.

The focus of this study is to explore the advances that Social Network Analysis (SNA) can bring, in combination with other methods, when studying Networked Learning/ Computer-Supported Collaborative Learning (NL/CSCL). We present a general overview of how SNA is applied in NL/CSCL research; we then go on to illustrate how this research method can be integrated with existing studies on NL/CSCL, using an example from our own data, as a way to synthesize and extend our understanding of teaching and learning processes in NLCs. The example study reports empirical work using content analysis (CA), critical event recall (CER) and social network analysis (SNA). The aim is to use these methods to study the nature of the interaction patterns within a networked learning community (NLC), and the way its members share and construct knowledge. The paper also examines some of the current findings of SNA analysis work elsewhere in the literature, and discusses future prospects for SNA. This paper is part of a continuing international study that is investigating NL/CSCL among a community of learners engaged in a master's program in e-learning.

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