| Issue |
MATEC Web Conf.
Volume 70, 2016
2016 The 3rd International Conference on Manufacturing and Industrial Technologies
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 5 | |
| Section | Manufacturing and Industrial Production | |
| DOI | https://doi.org/10.1051/matecconf/20167005001 | |
| Published online | 11 August 2016 | |
The Role of Higher Order Thinking Skills in Green Skill Development
1 Universiti Tun Hussein Onn Malaysia, Faculty of Technical and Vocational Education, Department of Engineering Education, 86400 Parit Raja, Batu Pahat, Johor, Malaysia
2 Universiti Pendidikan Sultan Idris, Faculty of Technical and Vocational Education, 35900 Tanjong Malim, Perak
In the era of rapid development, industries sector will bring negative effect of environment. Therefore, green technologies should be exposed in education system for transforming economy model to greener economy modal. HOTS should be applied in green skill development in order to solve problems, generate new products and ideas. The application of HOTS can enhance someone in processing new information for various alternatives, ideas, actions, and design solutions to solve a problemIn this regard, a study on the role of Marzano HOTS in green skill development has been designed for the above purpose. This article suggests an initial idea of the study. The key elements identified in green skills development include green economy, green industry and green skills. Meanwhile, elements related to the Marzano HOTS is comparing, classifying, induction, deduction, error analysis, constructing support, abstracting and analyzing perspectives. As conclucion, HOTS requires someone to critically evaluate information, make inferences, and make generalizations. With HOTS, we enable to apply knowledge, skills and values to make reasoning and reflection to solve problems, make decisions, innovate and strive to create something in green skills development.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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