Unpacking integrated STEM pedagogies: latent class analysis of in-service teachers’ goals, orientations, and teaching methods across contexts

Despite ongoing integrated science, technology, engineering, and mathematics (iSTEM) education reform, challenges still persist. Understanding teachers’ perspectives is crucial for enhancing their iSTEM teaching competencies, because teachers are key agents of educational reform. Transitioning from subject-specific teaching to iSTEM teaching requires teachers to revise their goals, orientations, and teaching methods (GOT) in their teaching contexts. However, prior studies have overlooked the contextual influences on teachers’ GOT and treated teachers as a homogeneous group, neglecting individual differences. This study developed and validated an instrument to investigate teachers’ Goals for students' iSTEM learning, Orientation towards the relationship between their subject and iSTEM, and Teaching methods adopted in iSTEM across contexts. Employing a person-centered approach with latent class analysis, this study analyzed data from 318 Taiwanese and 117 Indonesian secondary school science, technology, and mathematics teachers. Significant differences in GOT classes were observed between Taiwanese and Indonesian teachers. Taiwanese teachers demonstrated four GOT types in regular courses as (a) a single preference across iSTEM GOT; (b) an open preference encompassing a wide range of iSTEM GOT; (c) a strong preference for multiple iSTEM goals with reciprocal orientation, but inconsistent teaching methods; and (d) a strong preference for multiple iSTEM goals but inconsistent orientations and teaching methods. These differences could not be explained by iSTEM teaching experience or subject major. By contrast, Taiwanese teachers in elective courses and Indonesian teachers in both regular and elective courses showed relatively uniform GOT patterns. The results underscore the importance of considering contexts in STEM teacher professional development. The identified GOT classes revealed internal differences among teachers, highlighting differentiated support tailored to specific contexts. Furthermore, the variations between Taiwan and Indonesia emphasize the potential for mutual learning and cross-cultural collaboration among teachers, enriching the collective capacity for effective iSTEM implementation.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-08-24
DOI
https://doi.org/10.1057/s41599-026-08583-0
Primary Topic
Science Education and Pedagogy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unpacking integrated STEM pedagogies: latent class analysis of in-service teachers’ goals, orientations, and teaching methods across contexts

Xiao-Bin He, Rooselyna Ekawati, Kai-Lin Yang
Humanities and Social Sciences Communications
Science Education and Pedagogy
article

Unpacking integrated STEM pedagogies: latent class analysis of in-service teachers’ goals, orientations, and teaching methods across contexts

Xiao-Bin He, Rooselyna Ekawati, Kai-Lin Yang
article en

Abstract

Despite ongoing integrated science, technology, engineering, and mathematics (iSTEM) education reform, challenges still persist. Understanding teachers’ perspectives is crucial for enhancing their iSTEM teaching competencies, because teachers are key agents of educational reform. Transitioning from subject-specific teaching to iSTEM teaching requires teachers to revise their goals, orientations, and teaching methods (GOT) in their teaching contexts. However, prior studies have overlooked the contextual influences on teachers’ GOT and treated teachers as a homogeneous group, neglecting individual differences. This study developed and validated an instrument to investigate teachers’ Goals for students' iSTEM learning, Orientation towards the relationship between their subject and iSTEM, and Teaching methods adopted in iSTEM across contexts. Employing a person-centered approach with latent class analysis, this study analyzed data from 318 Taiwanese and 117 Indonesian secondary school science, technology, and mathematics teachers. Significant differences in GOT classes were observed between Taiwanese and Indonesian teachers. Taiwanese teachers demonstrated four GOT types in regular courses as (a) a single preference across iSTEM GOT; (b) an open preference encompassing a wide range of iSTEM GOT; (c) a strong preference for multiple iSTEM goals with reciprocal orientation, but inconsistent teaching methods; and (d) a strong preference for multiple iSTEM goals but inconsistent orientations and teaching methods. These differences could not be explained by iSTEM teaching experience or subject major. By contrast, Taiwanese teachers in elective courses and Indonesian teachers in both regular and elective courses showed relatively uniform GOT patterns. The results underscore the importance of considering contexts in STEM teacher professional development. The identified GOT classes revealed internal differences among teachers, highlighting differentiated support tailored to specific contexts. Furthermore, the variations between Taiwan and Indonesia emphasize the potential for mutual learning and cross-cultural collaboration among teachers, enriching the collective capacity for effective iSTEM implementation.

Humanities and Social Sciences Communications
National Taiwan Normal University (TW), Universitas Negeri Surabaya (ID)
National Science and Technology Council, National Science and Technology Council
Quality Education
Openalex Percentile: Top 2%
Science Education 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.