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Integrating text-mining, network analysis and thematic discourse analysis to produce maps of student discussions about sustainability
Linnaeus University, Faculty of Health and Life Sciences, Department of Chemistry and Biomedical Sciences. (Network for Science Education Research & Development)ORCID iD: 0000-0001-9132-8615
Institut for Naturfagenes Didaktik, Copenhagen.
Uppsala University.
2016 (English)In: A methodological approach to PER, 2016Conference paper, Poster (Refereed)
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.

Place, publisher, year, edition, pages
2016.
National Category
Didactics
Research subject
Natural Science, Science Education
Identifiers
URN: urn:nbn:se:lnu:diva-56486OAI: oai:DiVA.org:lnu-56486DiVA: diva2:968904
Conference
PERC 2016
Available from: 2016-09-13 Created: 2016-09-13 Last updated: 2017-01-17Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf