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LicenciaCreative Commons Attribution (CC BY)es
AutorSolano-Sánchez, Miguel Ángel
AutorDomínguez-Valerio, Cándida María
AutorLendínez-Turón, Ana
AutorAguilar-Rivero, Minerva
Fecha de admisión2022-02-05T20:22:48Z
Fecha disponible2022-02-05T20:22:48Z
Año2022
CitaciónSolano-Sánchez, M., Domínguez-Valerio, C. M., Lendínez-Turón, A. y Aguilar-Rivero, M. (2022). Sustainable economic development education: the use of artificial neural networks for the profile estimation of students from developing countries. Sustainability, 14(3), 1192. Recuperado de:es
URIhttps://bvearmb.do/handle/123456789/521
Sinopsis[English] Environmentally friendly behaviour and the equitable and sustainable use of natural resources can contribute to solving various environmental, economic, and social problems in different countries. The analysis of the perception of young students is important because schools are suitable for educating future generations and shaping their attitudes to also include a greater concern for the environment. This research aims to determine the degree of influence that a series of Likert-type questions of knowledge, attitudes, and behaviours about sustainable development has on a series of items of the student profile (gender, age, course, and household members) in a developing country.en
IdiomaEnglishes
PublicadoSustainability [2071-1050], 14(3), 1192es
Derechos© 2022 by the authors. Licensee MDPI, Basel, Switzerland.es
URI de derechoshttps://creativecommons.org/licenses/by/4.0/es
MateriaDesarrollo sosteniblees
MateriaEducación ambientales
TítuloSustainable economic development education : the use of artificial neural networks for the profile estimation of students from developing countriesen
dc.identifier.doi10.3390/su14031192
Tipo de materialArticlees
Tipo de contenidoScientific researches
AccesoOpenes
AudienciaTechnicians, professionals and scientistses


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Creative Commons Attribution (CC BY)
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© 2022 by the authors. Licensee MDPI, Basel, Switzerland.