Exploring the research trends in STEAM education for preschoolers: a bibliometric analysis

This study offers an in-depth bibliometric analysis of current research on STEAM (Science, Technology, Engineering, Arts, and Mathematics) education in preschool settings, using a dataset of 42 publications from the Web of Science Core Collection. By applying VOSviewer for co-occurrence network analysis (full counting, minimum of 3 keyword occurrences), we identified four main thematic clusters: (1) Innovative teaching practices and teacher training, highlighting the importance of educator preparedness and curriculum development; (2) Child development through STEAM, focusing on improvements in creativity, collaboration, and cognitive skills; (3) Technology and engineering integration, examining the use of robotics, coding, and design thinking with young learners; and (4) Cultural and environmental contexts, emphasizing localized, inclusive, and outdoor learning approaches. The findings show increasing international attention to early STEAM education, along with a clear need for better assessment tools and stronger support for teacher training. This analysis helps clarify where the field stands and where it might go next, offering valuable insights for educators, researchers, and policymakers interested in early childhood education.

Authors

Publication Details

Journal
Educatia 21
Published
2025-11-28
DOI
https://doi.org/10.24193/ed21.2025.31.11
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the research trends in STEAM education for preschoolers: a bibliometric analysis

Alina Felicia Roman, DOINA FLORICA TIFREA
Educatia 21
Teaching and Learning Programming
article

Exploring the research trends in STEAM education for preschoolers: a bibliometric analysis

Alina Felicia Roman, DOINA FLORICA TIFREA
article en

Abstract

This study offers an in-depth bibliometric analysis of current research on STEAM (Science, Technology, Engineering, Arts, and Mathematics) education in preschool settings, using a dataset of 42 publications from the Web of Science Core Collection. By applying VOSviewer for co-occurrence network analysis (full counting, minimum of 3 keyword occurrences), we identified four main thematic clusters: (1) Innovative teaching practices and teacher training, highlighting the importance of educator preparedness and curriculum development; (2) Child development through STEAM, focusing on improvements in creativity, collaboration, and cognitive skills; (3) Technology and engineering integration, examining the use of robotics, coding, and design thinking with young learners; and (4) Cultural and environmental contexts, emphasizing localized, inclusive, and outdoor learning approaches. The findings show increasing international attention to early STEAM education, along with a clear need for better assessment tools and stronger support for teacher training. This analysis helps clarify where the field stands and where it might go next, offering valuable insights for educators, researchers, and policymakers interested in early childhood education.

Educatia 21(31)
Openalex Percentile: Top 58%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.