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Integrating text-mining, network analysis and thematic discourse analysis to produce maps of student discussions about sustainability
Linnéuniversitetet, Fakulteten för Hälso- och livsvetenskap (FHL), Institutionen för kemi och biomedicin (KOB). (Network for Science Education Research & Development)ORCID-id: 0000-0001-9132-8615
Institut for Naturfagenes Didaktik, Denmark.
Uppsala University.
2016 (engelsk)Inngår i: A methodological approach to PER, 2016Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
Abstract [en]

We use a combination of network analysis (NA), text-mining (TM) techniques, and thematic discourse  analysis  (TDA)  to  characterise  and compare  student  discussions  about sustainable development. Three student groups at three different times were analysed. The analysis entails an iterative design where NA, TM, and TDA continuously inform each other to produce a rich and coherent picture of the discussions. The output of such an analysis is a  set  of  maps  of  these  discussions,  which  have both  qualitative  and  quantitative  uses. Qualitatively, the maps show how thematic patterns in the discussions are related for each group,  and  we can  see  how  discourses  differ  between  groups  as  well  as  over  time. Quantitatively,  we  use  network  motif  analysis,  entropy  based measures,  and  degree distributions to distinguish between discussions.

sted, utgiver, år, opplag, sider
2016.
HSV kategori
Forskningsprogram
Naturvetenskap, Naturvetenskap med utbildningsvetenskaplig inriktning
Identifikatorer
URN: urn:nbn:se:lnu:diva-56486OAI: oai:DiVA.org:lnu-56486DiVA, id: diva2:968904
Konferanse
PERC 2016
Tilgjengelig fra: 2016-09-13 Laget: 2016-09-13 Sist oppdatert: 2017-12-07bibliografisk kontrollert

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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Annet språk
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