Development and Validation Study of a STEAM Children’s Future Competency Measurement

This study aims to develop and validate a STEAM children’s future competency measurement. A systematic literature review was conducted to collect and analyze STEAM-related literature, and seven factors comprising 50 items were constructed after review by external subject matter experts. We collected survey data twice from children aged 7–9 years old, with 413 responses in sample 1 and 425 responses in sample 2. Factor analysis (i.e., exploratory and confirmatory factor analyses), reliability test, and Rasch model analysis were performed. Eventually, seven factors comprising 43 items were validated. Based on the findings, we discussed the academic and practical implications, as well as suggestions for future research.

Authors

Publication Details

Published
2024-12-31
DOI
https://doi.org/10.25020/je.2024.44.4.1
Primary Topic
Educational Research and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Validation Study of a STEAM Children’s Future Competency Measurement

Yunsoo Lee, Heejun Lim, Han-Joo Eom, Michin Hong et al.
Educational Research and Pedagogy
article

Development and Validation Study of a STEAM Children’s Future Competency Measurement

Yunsoo Lee, Heejun Lim, Han-Joo Eom, Michin Hong, Jiwon Kim, H.-A. Park, J. Lee, Suwan Bae
article en

Abstract

This study aims to develop and validate a STEAM children’s future competency measurement. A systematic literature review was conducted to collect and analyze STEAM-related literature, and seven factors comprising 50 items were constructed after review by external subject matter experts. We collected survey data twice from children aged 7–9 years old, with 413 responses in sample 1 and 425 responses in sample 2. Factor analysis (i.e., exploratory and confirmatory factor analyses), reliability test, and Rasch model analysis were performed. Eventually, seven factors comprising 43 items were validated. Based on the findings, we discussed the academic and practical implications, as well as suggestions for future research.

Vol. 44(4)
Openalex Percentile: Top 70%
Educational Research and Pedagogy
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.