Article 2020

Prioritizing the teaching methods of ESD using an integrated fuzzy entropy–SAW algorithm (case study: technical and vocational schools)

Applied Environmental Education and Communication
Journal · Vol. 19 · Issue 2 · pp. 205-220
Abstract

The current environmental crisis has mainly a human-induced origin. In this regard, technical and vocational (T&V) graduates have an important role in the optimal use of environment and resources. Therefore, this research intends to find the best teaching method of education for sustainable development (ESD) in order to improve the behavior of those graduates toward the environment. For this purpose, the fuzzy entropy method was used to introduce and weight the sustainable development competency criteria of the T&V graduates. Then, the teaching methods were prioritized by applying a fuzzy Simple Additive Weighted (SAW) model. According to the results of the present paper, performance-based learning was the most appropriate method of ESD. © 2019, © 2019 Taylor & Francis Group, LLC.

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Author Affiliations
Department of Environmental Education, Payame Noor University, Tehran, Tehran, Iran
Department of Environment, University of Birjand, Birjand, South Khorasan, Iran
Department of Environmental Planning and Management, University of Tehran, Tehran, Tehran, Iran
Funding & Acknowledgements
No funding information
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