Vietnam V-STEM2030 Dataset: Competencies of Pre-Service and In-Service STEM Teachers Across Nine Provinces

This article presents the V-STEM2030 dataset, a multi-site collection of responses from 612 participants, including 412 pre-service teachers and 200 in-service teachers across nine provinces in Vietnam. The dataset was developed to document the competency profiles of Vietnam’s emerging STEM teacher workforce, using a 40-item Likert scale aligned with five domains: pedagogical STEM design, interdisciplinary integration, inquiry and problem solving, technology/AI integration, and engineering practices. Data were gathered through supervised in-class administrations and online distribution managed by provincial training centers. To support replicability, the article includes the full questionnaire, variable codebook, and analysis scripts used for reliability testing, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). The dataset is intended to support comparative studies, instrument validation, policy planning, and competency-based curriculum development for teacher education in the Global South.