License | Creative Commons Attribution (CC BY) | es |
Author | Solano-Sánchez, Miguel Ángel | |
Author | Domínguez-Valerio, Cándida María | |
Author | Lendínez-Turón, Ana | |
Author | Aguilar-Rivero, Minerva | |
Accessioned date | 2022-02-05T20:22:48Z | |
Available date | 2022-02-05T20:22:48Z | |
Year | 2022 | |
Citation | Solano-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 |
URI | https://bvearmb.do/handle/123456789/521 | |
Abstract | [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 |
Language | English | es |
Published | Sustainability [2071-1050], 14(3), 1192 | es |
Rights | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | es |
Rights URI | https://creativecommons.org/licenses/by/4.0/ | es |
Subject | Desarrollo sostenible | es |
Subject | Educación ambiental | es |
Title | Sustainable economic development education : the use of artificial neural networks for the profile estimation of students from developing countries | en |
dc.identifier.doi | 10.3390/su14031192 | |
Material type | Article | es |
Type of content | Scientific research | es |
Access | Open | es |
Audience | Technicians, professionals and scientists | es |