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Journal for STEM Education Research is a peer-reviewed journal published by Springer Nature, covering Career Development and Diversity, Science Education and Pedagogy, Education, Achievement, and Giftedness.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Journal for STEM Education Research 12, 45–58 (2023).
Formats any DOI in Journal for STEM Education Research style. No sign-up. |
| Publishes research in | Career Development and Diversity Science Education and Pedagogy Education, Achievement, and Giftedness Teaching and Learning Programming Higher Education Research Studies |
| ISSN | 2520-8705 |
| Citation impact (2-yr) | 6.29 |
| h-index | 29 |
| i10-index | 74 |
| Total citations | 3,349 |
| Article processing charge | $2,990 |
| Top institutions publishing here | Texas A&M University |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Social, motivational, and instructional factors impact students’ outcomes in STEM learning and their career paths. Based on prior research and expectancy-value theory, the study further explored how multiple factors affect students in the context of integrated STEM learning. High school STEM teachers participated in summer professional development and taught integrated STEM to students during…
Abstract The purpose of this longitudinal investigation was to examine the effectiveness of a comprehensive, integrated curricular and co-curricular program designed to build community, provide academic and social support, and promote engagement in academically purposeful activities resulting in more equitable environments for historically underrepresented, low-income science, technology, engineering, and mathematics (STEM) information technology (IT) students.…
Abstract This study investigates the relationship between undergraduates’ technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study’s variables. The study’s participants are 176 undergraduate students from a public university in southwestern Nigeria. The Partial Least Square Structural Equation…
Abstract Artificial intelligence (AI) is becoming increasingly relevant, and students need to understand the concept. To design an effective AI program for schools, we need to find ways to expose students to AI knowledge, provide AI learning opportunities, and create engaging AI experiences. However, there is a lack of trained teachers who can facilitate students’…
