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https://dx.doi.org/10.48785/10...
Other literature type . 2024
License: CC BY
Data sources: Datacite
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Incorporating Traditional Ecological Knowledge (TEK) into Curriculum Development

Authors: Mat Noor, Mohd Syafiq Aiman;

Incorporating Traditional Ecological Knowledge (TEK) into Curriculum Development

Abstract

Indigenous peoples have lived in harmony with the natural world for thousands of years, developing unique ways of understanding and interacting with their surroundings. This knowledge, often passed down through oral tradition, encompasses a wide range of information about the environment, culture, and history of their communities. Since the Paris Agreement of 2015 (United Nations Framework Convention on Climate Change [UNFCCC], 2015), there has been growing recognition of the importance of preserving and utilising this indigenous knowledge to improve the lives of indigenous peoples and protect the planet’s natural resources. However, to fully harness the potential of this knowledge, it is essential to decolonise current practices and ensure that indigenous knowledge systems are authentically respected and treated as equal to scientific knowledge in addressing global challenges.

Related Organizations
Keywords

FOS: Educational sciences, FOS: Earth and related environmental sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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