Examining the Integration of Deep Learning in the Implementation of the Independent Curriculum in Early Childhood Education: A Systematic Literature Review
DOI:
https://doi.org/10.61492/2phm6405Keywords:
Deep Learning, Independent Curriculum, Early Childhood Education, Meaningful Learning, Learning Through PlayAbstract
The implementation of the Independent Curriculum encourages a transformation of learning that is student-centered, meaningful, and oriented towards holistic competency development. In line with this direction, Deep Learning is an approach that emphasizes meaningful, mindful, and joyful learning to support optimal child development. This study aims to identify, evaluate, and synthesize literature on the integration of Deep Learning in the implementation of the Independent Curriculum in Early Childhood Education (PAUD). The study used a Systematic Literature Review (SLR) approach with the PRISMA 2020 protocol and the PICOS framework. Literature was obtained from Scopus, Web of Science, ERIC, ScienceDirect, SpringerLink, Taylor & Francis, Sage Journals, and Google Scholar for the period 2020–2026. Based on the selection process, 50 articles met the inclusion criteria and were analyzed using thematic synthesis. The results of the study indicate that the integration of Deep Learning in PAUD is realized through meaningful learning, learning through play, holistic development of children's competencies, and strengthening the role of teachers as learning facilitators. This study also demonstrates the philosophical alignment between Deep Learning and the Independent Curriculum in creating authentic, child-centered learning. This research identifies theoretical, methodological, and contextual gaps that can inform further research.
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Copyright (c) 2026 Elnawati, Santi Yudhawati Darmo, Nur Hayati (Author)
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