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Interaction analysis data of simulation gaming events using the serious game Aqua Republica
The data presented in this article is related to the research article entitled ‘Serious games as a catalyst for boundary crossing, collaboration and knowledge co-creation in a watershed governance context’ (Jean et al., In press) [1]. Understanding the team dynamics related to serious game simulatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141151/ https://www.ncbi.nlm.nih.gov/pubmed/30229106 http://dx.doi.org/10.1016/j.dib.2018.06.031 |
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author | Jean, Steven Medema, Wietske Adamowski, Jan Chew, Chengzi Delaney, Patrick Wals, Arjen |
author_facet | Jean, Steven Medema, Wietske Adamowski, Jan Chew, Chengzi Delaney, Patrick Wals, Arjen |
author_sort | Jean, Steven |
collection | PubMed |
description | The data presented in this article is related to the research article entitled ‘Serious games as a catalyst for boundary crossing, collaboration and knowledge co-creation in a watershed governance context’ (Jean et al., In press) [1]. Understanding the team dynamics related to serious game simulations is critical for understanding the potential uses and functions of these simulations for knowledge co-creation (Medema et al., 2016) [2]. The data was obtained from four independent serious game simulation events and consists of n = 40 participants. Participants were divided into small teams and were then recorded playing the serious game Aqua Republica (http://aquarepublica.com/). Interactions were tallied and interaction maps created using the visualization software GEPHI (https://gephi.org/). The interaction maps allow for a visual representation of the progression of interactions over the course of four subsequent phases of gameplay (Jordan and Henderson, 1995) [3]. |
format | Online Article Text |
id | pubmed-6141151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61411512018-09-18 Interaction analysis data of simulation gaming events using the serious game Aqua Republica Jean, Steven Medema, Wietske Adamowski, Jan Chew, Chengzi Delaney, Patrick Wals, Arjen Data Brief Environmental Science The data presented in this article is related to the research article entitled ‘Serious games as a catalyst for boundary crossing, collaboration and knowledge co-creation in a watershed governance context’ (Jean et al., In press) [1]. Understanding the team dynamics related to serious game simulations is critical for understanding the potential uses and functions of these simulations for knowledge co-creation (Medema et al., 2016) [2]. The data was obtained from four independent serious game simulation events and consists of n = 40 participants. Participants were divided into small teams and were then recorded playing the serious game Aqua Republica (http://aquarepublica.com/). Interactions were tallied and interaction maps created using the visualization software GEPHI (https://gephi.org/). The interaction maps allow for a visual representation of the progression of interactions over the course of four subsequent phases of gameplay (Jordan and Henderson, 1995) [3]. Elsevier 2018-06-27 /pmc/articles/PMC6141151/ /pubmed/30229106 http://dx.doi.org/10.1016/j.dib.2018.06.031 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Environmental Science Jean, Steven Medema, Wietske Adamowski, Jan Chew, Chengzi Delaney, Patrick Wals, Arjen Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title | Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title_full | Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title_fullStr | Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title_full_unstemmed | Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title_short | Interaction analysis data of simulation gaming events using the serious game Aqua Republica |
title_sort | interaction analysis data of simulation gaming events using the serious game aqua republica |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141151/ https://www.ncbi.nlm.nih.gov/pubmed/30229106 http://dx.doi.org/10.1016/j.dib.2018.06.031 |
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