Bridging Deep Learning and Nature-Based Learning for Early Childhood Creativity: A Systematic Literature Review
DOI:
https://doi.org/10.33830/ijeiece.v8i1.13594Keywords:
early childhood creativity, nature-based learning, deep learning in education, experiential learning, adaptive learningAbstract
This systematic literature review examines the integration of deep learning technologies and nature-based learning (NBL) in fostering creativity in early childhood education. While both approaches have been widely studied independently, their combined potential remains underexplored, representing a significant gap in the literature. Guided by the PRISMA 2020 framework, this study identified 559 records published between 2014 and 2024 from major academic databases. After a rigorous screening and eligibility process, nine studies were included in the final thematic synthesis. The findings reveal a clear imbalance in the current research landscape. Nature-based learning consistently demonstrates strong contributions to creativity through exploratory play, multisensory engagement, and child-led inquiry, while deep learning technologies are primarily applied for assessment, personalization, and adaptive instruction, with limited focus on creativity development. Moreover, evidence of integration between these two domains remains scarce, with no established conceptual or empirical framework guiding their combined use. This review highlights three critical gaps: the absence of integrative pedagogical models, the concentration of studies in developed contexts, and the lack of validated creativity-specific assessment tools for young children. The study contributes by proposing an integrative perspective that positions deep learning as a supportive analytic tool within experiential, nature-based environments. Future research should focus on developing context-sensitive, ethically grounded, and pedagogically aligned models that enhance creativity without compromising children’s agency, imagination, and interaction with the natural world.
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