Developing and using an S3R model to analyze reasoning in web-based cross-national exchanges on sustainability Morin,O, Simonneaux,L, Simonneaux,J, Tytler,R and Barraza,L 2014, Developing and using an S3R model to analyze reasoning in web-based cross-national exchanges on sustainability, Science education, vol. 98, no. 3, pp. 517-542, doi: 10.1002/sce.21113. Attached Files Name Description MIMEType Size Downloads Title Developing and using an S3R model to analyze reasoning in web-based cross-national exchanges on sustainability Author(s) Morin,O Simonneaux,L Simonneaux,J Tytler,R orcid.org/0000-0003-0161-7240 Barraza,L Journal name Science education Volume number 98 Issue number 3 Start page 517 End page 542 Publisher Wiley Periodicals Place of publication Hoboken, NJ Publication date 2014-05 ISSN 0036-8326 1098-237X Keyword(s) Social Sciences Education & Educational Research SOCIOSCIENTIFIC ISSUES SCIENCE-EDUCATION ENVIRONMENTAL-ISSUES DILEMMAS Summary Within the increasing body of research that examines students' reasoning on socioscientific issues, we consider in particular student reasoning concerning acute, open-ended questions that bring out the complexities and uncertainties embedded in ill-structured problems. In this paper, we propose a socioscientific sustainability reasoning (S3R) model to analyze students' reasoning exchanges on environmental socially acute questions (ESAQs). The paper describes the development of an epistemological analysis of how sustainability perspectives can be integrated into socioscientific reasoning, which emphasizes the need for S3R to be both grounded in context and collective. We argue the complexity of ESAQs requires a consideration of multiple dimensions that form the basis of our S3R analysis model: problematization, interactions, knowledge, uncertainties, values, and governance. For each dimension, in the model we have identified indicators of four levels of complexity. We investigated the usefulness of the model in identifying improvements in reasoning that flow from cross-national web-based exchanges between groups of French and Australian students, concerning a local and a global ESAQ. The S3R model successfully captured the nature of reasoning about socioscientific sustainability issues, with the collective negotiation of multiple forms of knowledge as a key characteristic in improving reasoning levels. The paper provides examples of collaborative argumentation in collective texts (wikis) to illustrate the various levels of reasoning in each dimension, and diagrammatic representation of the evolution of collective reflections. We observe that a staged process of construction and confrontation, involving groups representing to some extent different cultural and contextual stances, is powerful in eliciting reasoned argument of enhanced quality. © 2014 Wiley Periodicals, Inc. Language eng DOI 10.1002/sce.21113 Field of Research 130212 Science, Technology and Engineering Curriculum and Pedagogy Socio Economic Objective 970113 Expanding Knowledge in Education HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Wiley Persistent URL http://hdl.handle.net/10536/DRO/DU:30068090 Document type: Journal Article Collections: School of Education 2018 ERA Submission Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 07 Dec 2014, 09:49:55 EST Sun, 07 Dec 2014, 09:55:16 EST Sun, 07 Dec 2014, 09:55:51 EST Mon, 08 Dec 2014, 04:00:09 EST Mon, 08 Dec 2014, 07:38:23 EST Wed, 07 Jan 2015, 05:07:19 EST Thu, 08 Jan 2015, 10:13:15 EST Thu, 08 Jan 2015, 10:13:54 EST Thu, 11 May 2017, 08:30:20 EST Wed, 14 Feb 2018, 15:22:18 EST Wed, 14 Feb 2018, 15:23:03 EST Filtered Full Citation counts:   Cited 5 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 237 Abstract Views, 9 File Downloads  -  Detailed Statistics Created: Sun, 07 Dec 2014, 09:55:51 EST

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