The Essence and Key Constructs of Deep Learning in Early Childhood: A Conceptual Analysis

Abstract

Deep learning in early childhood refers to an integrative learning process through which young children actively engage in inquiry, collaborative interaction, and reflective construction within authentic contexts, fostering the development of higher-order thinking and core competencies. At its core, it emphasizes the holistic integration of cognitive, emotional, and social dimensions, transcending superficial memorization and mechanical imitation. The essential components include: (1) the selection and focus of learning themes; (2) active emotional and attitudinal engagement; (3) peer collaboration and mutual support; (4) effective scaffolding by educators; (5) evaluative reflection and metacognitive advancement. By examining its conceptual foundations and structural elements, this paper reveals deep learning as a transformative paradigm characterized by integration, contextualization, and interactivity. It further elucidates the synergistic mechanisms through which multidimensional factors coalesce to promote holistic development in early childhood.