https://bchen.net/tags/discourse-analysis/ Recent content in Discourse Analysis on Bodong Chen Hugo en Sun, 13 Mar 2022 00:00:00 +0000 https://bchen.net/publication/2022-03-13-lak22-motifs/ Sun, 13 Mar 2022 00:00:00 +0000 https://bchen.net/publication/2022-03-13-lak22-motifs/ <h3 id="abstract">ABSTRACT <a href="#abstract"><svg class="anchor-symbol" aria-hidden="true" height="26" width="26" viewBox="0 0 22 22" xmlns="http://www.w3.org/2000/svg"> <path d="M0 0h24v24H0z" fill="currentColor"></path> <path d="M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76.0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71.0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71.0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76.0 5-2.24 5-5s-2.24-5-5-5z"></path> </svg></a> </h3> <p>Effective collaborative discourse requires both cognitive and social engagement of students. To investigate complex socio-cognitive dynamics in collaborative discourse, this paper proposes to model collaborative discourse as a socio-semantic network (SSN) and then use network motifs – defined as recurring, significant subgraphs – to characterize the network and hence the discourse. To demonstrate the utility of our SSN motifs framework, we applied it to a sample dataset. While more work needs to be done, the SSN motifs framework shows promise as a novel, theoretically informed approach to discourse analysis.</p>