STEM EDUCATION IN PHYSICS AND ITS IMPACT ON STUDENTS’ RESEARCH SKILLS

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.52269/sept2632058
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The aim of this study is to systematically evaluate, through a meta-analysis, the impact of STEM instruction based on solar energy on students’ research abilities. In the study, 10 empirical works published over the past decade were selected, and their standardized effect sizes were synthesized. The analysis was conducted using a random-effects model. The results showed a pooled mean effect size of d = 1.488 (95% CI: 0.942–2.035, p < 0.001), indicating a strong positive effect of STEM interventions in the context of solar energy on research abilities. Heterogeneity among studies was at a moderate level (I² = 58%), suggesting that the magnitude of the effect may vary depending on the educational context. The results of publication bias assessment confirmed the stability of the overall effect. In addition, meta-regression analysis showed that the most pronounced effect of the STEM approach was observed in the domain of research skills (p < 0.01). To complement the meta-analytic findings, an additional cross-sectional correlational study was conducted with 49 students who participated in a solar energy-based STEM learning program. Students’ engagement in STEM activities and their research competence were assessed using two composite indicators, STEM Level and Research Activity, each standardized on a 0–100 scale. Pearson’s correlation analysis was used to examine the relationship between these indicators. The complementary empirical analysis revealed a strong positive correlation between STEM Level and Research Activity (r = 0.807, p < 0.001), providing convergent contextual evidence consistent with the direction of the meta-analytic findings.