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dc.contributor.authorRooney-Varga, Juliette N
dc.contributor.authorKapmeier, Florian
dc.contributor.authorSterman, John D
dc.contributor.authorJones, Andrew P
dc.contributor.authorPutko, Michele
dc.contributor.authorRath, Kenneth
dc.date.accessioned2021-10-27T20:34:36Z
dc.date.available2021-10-27T20:34:36Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136266
dc.description.abstract© The Author(s) 2019. Background. We describe and provide an initial evaluation of the Climate Action Simulation, a simulation-based role-playing game that enables participants to learn for themselves about the response of the climate-energy system to potential policies and actions. Participants gain an understanding of the scale and urgency of climate action, the impact of different policies and actions, and the dynamics and interactions of different policy choices. Intervention. The Climate Action Simulation combines an interactive computer model, En-ROADS, with a role-play in which participants make decisions about energy and climate policy. They learn about the dynamics of the climate and energy systems as they discover how En-ROADS responds to their own climate-energy decisions. Methods. We evaluated learning outcomes from the Climate Action Simulation using pre- and post-simulation surveys as well as a focus group. Results. Analysis of survey results showed that the Climate Action Simulation increases participants’ knowledge about the scale of emissions reductions and policies and actions needed to address climate change. Their personal and emotional engagement with climate change also grew. Focus group participants were overwhelmingly positive about the Climate Action Simulation, saying it left them feeling empowered to make a positive difference in addressing the climate challenge. Discussion and Conclusions. Initial evaluation results indicate that the Climate Action Simulation offers an engaging experience that delivers gains in knowledge about the climate and energy systems, while also opening affective and social learning pathways.
dc.language.isoen
dc.publisherSAGE Publications
dc.relation.isversionof10.1177/1046878119890643
dc.rightsCreative Commons Attribution NonCommercial License 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourceSage
dc.titleThe Climate Action Simulation
dc.typeArticle
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Society
dc.relation.journalSimulation and Gaming
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-24T17:14:00Z
dspace.orderedauthorsRooney-Varga, JN; Kapmeier, F; Sterman, JD; Jones, AP; Putko, M; Rath, K
dspace.date.submission2021-03-24T17:14:01Z
mit.journal.volume51
mit.journal.issue2
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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