Integrating STEAM and the Deep Learning Approach in Creative Early Childhood Education

Abstrak

This article examines the integration of the STEAM (Science, Technology, Engineering, Arts, and Mathematics) approach with Deep Learning in the context of creative learning for early childhood. The purpose of this study is to analyze the theoretical foundations, implementation models, and synergistic effects of these two approaches on cognitive development, creativity, and 21st-century skills in children aged 3–8 years. Using a systematic literature review of 30 reputable international journals published over the past decade (2015–2025), this study found that the integration of STEAM and Deep Learning significantly enhances children’s critical thinking, problem-solving, and collaboration skills compared to conventional approaches. These findings indicate that a project-based learning environment that integrates artistic exploration, technology, and scientific inquiry creates meaningful and contextual deep learning experiences. Pedagogical implications include the importance of teacher training, responsive curriculum design, and the use of adaptive digital technology to support the STEAM-Deep Learning learning ecosystem in early childhood education. This article offers a new conceptual framework that can serve as a reference for researchers, education practitioners, and policymakers in designing innovative learning for early childhood.

Kata kunci

• 21st Century Skills
• Deep Learning
• Early Childhood
• Steam
• creative learning