Maximizing the impact of artificial intelligence and generative AI on STEAM education: A comprehensive review

Authors

DOI:

https://doi.org/10.5281/zenodo.16606275

Keywords:

Steam education, Generative Aı, Early Childhood education, Creative Thinking, problem solving, Artificial Intelligence

Abstract

This paper extends the discussion on the significance of STEAM (Science, Technology, Engineering, Arts, and Mathematics) education by examining the rapidly emerging roles of Artificial Intelligence (AI) and Generative AI (GAI) in fostering critical thinking, problem-solving, and creativity. By integrating these advanced technologies into STEAM curricula, educators can provide more personalized, interdisciplinary, and engaging learning experiences that cater to varied student needs. Throughout the paper, AI and GAI platforms are categorized into subgroups—namely Adaptive Learning & Personalized Education, Programming & Data Analysis, Generative & Creative AI, Interactive & Immersive Learning, and Visual Design & Communication—to illustrate diverse integration pathways. Ethical considerations, pedagogical strategies, and continuous teacher development are presented as key to responsible adoption. This review study includes the analysis of various peer-reviewed studies selected based on specific inclusion and exclusion criteria. Findings underscore the transformative potential of AI and GAI not only in enhancing student engagement and conceptual mastery, but also in promoting collaborative innovation across all STEAM disciplines. The study concludes with actionable recommendations for educators, policymakers, and researchers to embed AI and GAI tools effectively while ensuring equitable access, maintaining ethical standards, and emphasizing long-term professional growth.

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Published

2025-07-30

How to Cite

Er, Z., İlhan, A. G., & Bülbül, M. Şahin. (2025). Maximizing the impact of artificial intelligence and generative AI on STEAM education: A comprehensive review. International Journal of Education and Artificial Intelligence , 2(1), 3–16. https://doi.org/10.5281/zenodo.16606275

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