Journal of Computing and Natural Science


Integration of Environment and Content Knowledge into STEM Education



Journal of Computing and Natural Science

Received On : 25 May 2021

Revised On : 28 June 2021

Accepted On : 30 September 2021

Published On : 05 January 2022

Volume 02, Issue 01

Pages : 021-026


Abstract


With a central focus on the research question: “What must be done to encourage people to become more E+STEM educated?” this research is based on a Systematic review on ecological knowledge, which is linked to teachers' career growth as well as Environmental Science, Technology, Engineering, and Mathematics (E+STEM) pedagogy. The aim is to identify what instructors must do to improve their experience and credentials as E+STEM-educated people in light of expert views. To disclose expert views, a "mixed method" research approach is utilized in this study, which includes both qualitative and quantitative techniques. The technique employed is exploratory study sequencing, which is a kind of mixed-method study. The Delphi study's initial stage is to gather qualitative data on teachers' professional growth. The quantitative methodology is featured for the phase two of the Delphi research once the data has been analyzed in the first step. Lastly, the ultimate quantitative formulation (third phase) is produced following the data evaluation in the second phase.


Keywords


Science, Technology, Engineering, and Mathematics (STEM), Environmental Science, Technology, Engineering, and Mathematics (E-STEM).


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Acknowledgements


The authors would like to thank to the reviewers for nice comments on the manuscript.


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Cite this article


Marco Scotini and Hussein Abdullah, “Integration of Environment and Content Knowledge into STEM Education”, Journal of Computing and Natural Science, vol.2, no.1, pp. 021-026, January 2022. doi: 10.53759/181X/JCNS202202004.


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© 2022 Marco Scotini and Hussein Abdullah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.