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Multimodal Semiotics and Collaborative Design

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The interview questions included the inquiry of their general backgrounds, including their prior<br />

experience with similar worlds <strong>and</strong> practices, their reflections on the overall design <strong>and</strong> process of<br />

designing virtual places, <strong>and</strong> their general ideas on affordances <strong>and</strong> limitations of SL as a<br />

collaborative platform for content generation 7 . As a general rule of thumb throughout the<br />

interviews, I aimed to stay active <strong>and</strong> alert to determine particular leading topics of discussion, <strong>and</strong><br />

ask probing questions to evoke reflective responses <strong>and</strong> discussions for further elaboration (i.e.<br />

Mann <strong>and</strong> Stewart 2000, Charmaz 2002, Kvale <strong>and</strong> Brinkmann 2009).<br />

The choice of using focus group interviews with the workshop students aimed to tap the possibility<br />

of generating a lively collective discussion on group processes <strong>and</strong> bring forth expressive <strong>and</strong><br />

emotional views in the course of collective interaction (Tonkiss 2004, Kvale <strong>and</strong> Brinkmann 2009).<br />

Although conventional focus groups usually involve six to ten people, my student participants<br />

consisted of 3 groups of 4 <strong>and</strong> 1 group of 3 students. Students are involved in the research as<br />

learners who had an intensive 3-week experience with SL, after which they produced <strong>and</strong> presented<br />

designs to a public audience. In this respect, I was more concerned with the internal formation <strong>and</strong><br />

negotiation of accounts within each group in relation to their collaborative processes. As expected,<br />

specific parts of the student discussions were particularly rich <strong>and</strong> interesting in terms of their<br />

collective reflections <strong>and</strong> critical remarks.<br />

Transcription <strong>and</strong> coding of the interviews were done in accordance with the grounded theoretical<br />

procedures of initial coding <strong>and</strong> selective or focused coding (Charmaz 2002). As I have discussed in<br />

the previous chapter <strong>and</strong> outlined in Figure 5.1, the initial coding of the interviews is used to<br />

categorize the data on the social actors, the places <strong>and</strong> practices of collaborative design, <strong>and</strong> the<br />

products of designing. In the more focused stages of coding, several codes were generated to<br />

explore the relational patterns between the semiotic resources, the socio-technical contexts <strong>and</strong> the<br />

meaning potentials in virtual places. Some of these codes emphasized the co-designers’ personal<br />

backgrounds, skills <strong>and</strong> resources, whereas others explained how practices are organized by the use<br />

of these skills <strong>and</strong> resources. The experiential, interpersonal <strong>and</strong> textual meaning potentials, as<br />

they were interpreted by the co-designers, are the central categorizes in the analysis of virtual<br />

places <strong>and</strong> artifacts, as well as the interview discussions on these issues. My overarching aim in<br />

using the GTM perspective to dynamic coding of the multimodal data is to be able to reflect on the<br />

dynamically constructed meaning patterns among participants of the three case-studies. I used<br />

st<strong>and</strong>ard word processing applications for transcription <strong>and</strong> organization of data, <strong>and</strong> made use of<br />

the qualitative data analysis software Atlas TI for the intensive coding <strong>and</strong> analysis procedures. In<br />

order to answer the continuously developing analytical questions, I explored the data for insights<br />

7<br />

See the Analytical Framework flowchart (Figure 5.1) for further details of the interview topics <strong>and</strong> the coding process.<br />

136

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