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Autor/inn/enGomes Junior, José Carmino; Dalila Corbari, Sandra; Kniess, Cláudia Terezinha; Nogueira da Silva, Gérsica Moraes; Piontkewicz, Simone Caroline; de Souza Melo, Maiara; Silveira Carbone, Amanda; Mantovaneli, Oklinger, Jr.; Martins Sobral, Maria do Carmo; Philippi Junior, Arlindo; Fernandez, Felipe; de Aguiar Dutra, Ana Regina; Birch, Robert Samuel; Guerra, José Baltazar Salgueirinho Osório de Andrade; Sampaio, Carlos Alberto Cioce
TitelProposed Mapping and Evaluation Model of Sustainable Development Goals in Graduate Programs in Environmental Sciences in Brazil
QuelleIn: International Journal of Sustainability in Higher Education, 24 (2023) 7, S.1452-1473 (22 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1467-6370
DOI10.1108/IJSHE-07-2022-0230
SchlagwörterSustainable Development; Environmental Education; Well Being; Correlation; Water Quality; Sanitation; Foreign Countries; Algorithms; Masters Programs; State Universities; Masters Theses; Information Retrieval; Educational Quality; Objectives; International Organizations; Conservation (Environment); Poverty; Computational Linguistics; Educational Policy; Graduate Students; Brazil
AbstractPurpose: This paper aim to propose a methodological mapping approach for the evaluation of dissertations and theses of graduate programs in the area of environmental sciences in Brazil in relation to the UN sustainable development goals (SDGs). Design/methodology/approach: The research is characterized as exploratory with qualitative/quantitative approach. The proposed model was developed as a computational algorithm with a pilot being adopted as a professional master in national network for teaching in environmental sciences (ProfCiAmb) comprising associated courses from nine Brazilian public universities. 230 dissertations completed between 2018 and 2020 were analyzed. Findings: A total of 266 correlations were identified between the texts and descriptors of each SDG. Correlation values between 0.100 (minimum value -- Vmin) and 0.464 (maximum value -- Vmax) were observed. SDG 4 -- Quality Education (Vmax = 0.399) and SDG 6 -- Drinking Water and Sanitation (Vmax = 0.464) were those with the highest correlation values, followed by SDG 3 -- Health and Well-Being (Vmax = 0.299) and SDG 17 -- Partnerships and Means of Implementation (Vmax = 0.249). Practical implications: The construction of the computational algorithm provided consistent quantitative analyses with potential to contribute to the improvement of the multidimensional evaluation of graduate studies, as well as to support public policies related to teaching and research and strategic planning of the programs. Originality/value: The relevance of this study lies in the creation of a model that involves the creation of metrics and tools regarding the impact of graduate studies on society. (As Provided).
AnmerkungenEmerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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