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Environmental education research in Brazil: some highlights from theses and dissertations.

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Title: Environmental education research in Brazil: some highlights from theses and dissertations.
Authors: de Carvalho, Luiz Marcelo1 lmarcelo@rc.unesp.br, Neto, Jorge Megid2, Kawasaki, Clarice Sumi3, Bonotto, Dalva Maria Bianchini1, do Amaral, Ivan Amorosino2, Fernandes, José Artur Barroso4, Santana, Luiz Carlos1, Carvalho, Maria Bernadete Sarti da Silva1, Cavalari, Rosa Maria Feiteiro1
Source: Environmental Education Research. Oct2018, Vol. 24 Issue 10, p1447-1463. 17p. 3 Charts, 1 Graph, 1 Map.
Subject Terms: *Environmental education, *Academic dissertations, *Graduate students, *Graduate education, *Research methodology, *Higher education
Abstract: This article discusses an analysis of abstracts of Brazilian theses and dissertations on environmental education from a database organised and maintained by a group of researchers in the EArt Project (www.earte.net). In presenting extracts of key trends in this dataset, our aim is to provide a snapshot of the many possible approaches to, and histories of, Brazilian environmental education research. The data also allow us to raise some questions that explore possible 'blank spots', 'blind spots' and 'bald spots' in Brazilian research on environmental education. Given the temporal development of the research field since the 1980s, we illustrate these 'spots' by exploring data related to epistemological and methodological diversity, from the viewpoint of knowledge areas as well as the graduate programmes that have been developing research on environmental education. Finally, we draw a picture of the methodological trends that have been privileged by Brazilian researchers, and pose questions as to what is needed in shaping an agenda for research on environmental education in Brazil into the future. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Education Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Environmental education research in Brazil: some highlights from theses and dissertations.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Education+Research%22">Environmental Education Research</searchLink>. Oct2018, Vol. 24 Issue 10, p1447-1463. 17p. 3 Charts, 1 Graph, 1 Map.
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  Data: This article discusses an analysis of abstracts of Brazilian theses and dissertations on environmental education from a database organised and maintained by a group of researchers in the EArt Project (www.earte.net). In presenting extracts of key trends in this dataset, our aim is to provide a snapshot of the many possible approaches to, and histories of, Brazilian environmental education research. The data also allow us to raise some questions that explore possible 'blank spots', 'blind spots' and 'bald spots' in Brazilian research on environmental education. Given the temporal development of the research field since the 1980s, we illustrate these 'spots' by exploring data related to epistemological and methodological diversity, from the viewpoint of knowledge areas as well as the graduate programmes that have been developing research on environmental education. Finally, we draw a picture of the methodological trends that have been privileged by Brazilian researchers, and pose questions as to what is needed in shaping an agenda for research on environmental education in Brazil into the future. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Environmental Education Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Graduate students
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              Text: Oct2018
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