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

Research output: Contribution to conference › Poster › Research › peer-review

Standard

Maps of student discussions about sustainability : Integrating text-mining, network analysis and thematic discourse analysis. / Lindahl, Mats; Bruun, Jesper; Linder, Cedric.

2016. Poster session presented at Physics Education Research 2016, Sacramento, United States.

Research output: Contribution to conference › Poster › Research › peer-review

Harvard

Lindahl, M, Bruun, J & Linder, C 2016, 'Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis', Physics Education Research 2016, Sacramento, United States, 21/07/2016 - 22/07/2016.

APA

Lindahl, M., Bruun, J., & Linder, C. (2016). Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis. Poster session presented at Physics Education Research 2016, Sacramento, United States.

Vancouver

Lindahl M, Bruun J, Linder C. Maps of student discussions about sustainability: Integrating text-mining, network analysis and thematic discourse analysis. 2016. Poster session presented at Physics Education Research 2016, Sacramento, United States.

Author

Lindahl, Mats ; Bruun, Jesper ; Linder, Cedric. / Maps of student discussions about sustainability : Integrating text-mining, network analysis and thematic discourse analysis. Poster session presented at Physics Education Research 2016, Sacramento, United States.1 p.

Bibtex

@conference{775defabaf404d0eb571d72ada3783ea,
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. ",
author = "Mats Lindahl and Jesper Bruun and Cedric Linder",
year = "2016",
month = jul,
day = "22",
language = "English",
note = "Physics Education Research 2016 : A Methodological Approach to PER, PERC2016 ; Conference date: 21-07-2016 Through 22-07-2016",
url = "http://www.compadre.org/per/conferences/2016/",

}

RIS

TY - CONF

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

Y1 - 2016/7/22

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

Y2 - 21 July 2016 through 22 July 2016

ER -

ID: 164113852