Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis

Mats Lindahl; Jesper Bruun; Cedric Linder

Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis

Bidragets oversatte titel: Kortlægning af studerendes diskussioner om bæredygtighed: En integreret tilgang mellem text-mining, netværksanalyse og tematisk diskursanalyse

Mats Lindahl, Jesper Bruun, Cedric Linder

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Abstract

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 see developments in student discourse with each discussion. Quantitatively, we use network motif analysis, entropy based measures, and degree distributions to distinguish between discussions.

Bidragets oversatte titel	Kortlægning af studerendes diskussioner om bæredygtighed: En integreret tilgang mellem text-mining, netværksanalyse og tematisk diskursanalyse
Originalsprog	Engelsk
Publikationsdato	22 jul. 2016
Antal sider	1
Status	Udgivet - 22 jul. 2016
Begivenhed	Physics Education Research 2016: A Methodological Approach to PER - Sheraton Grand Sacramento, Sacramento, USA Varighed: 21 jul. 2016 → 22 jul. 2016 http://www.compadre.org/per/conferences/2016/

Konference

Konference	Physics Education Research 2016
Lokation	Sheraton Grand Sacramento
Land/Område	USA
By	Sacramento
Periode	21/07/2016 → 22/07/2016
Internetadresse	http://www.compadre.org/per/conferences/2016/

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Citationsformater

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title = "Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis",

abstract = "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 see developments in student discourse with each discussion. Quantitatively, we use network motif analysis, entropy based measures, and degree distributions to distinguish between discussions. ",

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T1 - Maps of student discussions about sustainability

T2 - Physics Education Research 2016

AU - Lindahl, Mats

AU - Bruun, Jesper

AU - Linder, Cedric

PY - 2016/7/22

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N2 - 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 see developments in student discourse with each discussion. Quantitatively, we use network motif analysis, entropy based measures, and degree distributions to distinguish between discussions.

AB - 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 see developments in student discourse with each discussion. Quantitatively, we use network motif analysis, entropy based measures, and degree distributions to distinguish between discussions.

M3 - Poster

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Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis

Abstract

Konference

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