1,016
Views
0
CrossRef citations to date
0
Altmetric
Articles

My world of machines: an integrated STEM education curriculum for early childhood teachers

ORCID Icon & ORCID Icon
Pages 470-487 | Published online: 02 Oct 2022
 

ABSTRACT

Early childhood years were believed to be a precious time to implement Science, Technology, Engineering, and Mathematics (STEM) education activities. Children can practice STEM-related skills and form their initial ideas about STEM professions. In this research, we aim to present an integrated STEM education curriculum for early childhood teachers, based on an engineering theme. We collected qualitative data through teachers’ self-evaluation forms and reflective journals. Seven teachers implemented the curriculum with the participation of 105 children. Teachers mostly expected improvement in cognitive process outcomes before the implementation. Children’s first reactions to the curriculum were curiosity and excitement. Cognitive process and social product outcomes were detailed and varied during and after the implementation of the curriculum. Teachers collaborated with their colleagues to plan and overcome the difficulties they encountered. The presented curriculum was found to be appropriate for implementation in early childhood settings. Further research was suggested to focus on the impact of the curriculum on children’s skills.

Acknowledgements

The authors acknowledge the supervision and feedback received from Prof. Dr. M. Sencer Corlu, the director of Bahçeşehir University BAUSTEM Center, in writing this article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 253.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.