<![CDATA[Background: Deep learning in early childhood education aims to create meaningful, contextual, and child-centered learning experiences. However, studies synthesizing the impact of deep learning implementation on early childhood development remain limited. Objective: This study aims to analyze the implementation of deep learning in optimizing early childhood development. Method: This study employed a Systematic Literature Review (SLR) using the PRISMA approach. Results: The findings indicate that deep learning enhances children's critical thinking, problem-solving, communication, collaboration, discipline, independence, and creativity. The most effective strategies are play-based learning and project-based learning that are connected to children's real-life experiences. These findings suggest that early childhood educators should implement active, contextual, and child-centered learning approaches to optimize children's holistic development across multiple developmental domains. Conclusion: Therefore, future research is recommended to employ empirical approaches, such as experimental or case study designs, to directly examine the effectiveness of deep learning implementation in early childhood education settings.]]>
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