The integration of digital technologies into early childhood music education has become a transformative pedagogical concern in contemporary educational systems. This study proposes a computational pedagogical model designed to optimize the alignment between digital tools, cognitive development, and creative learning processes in early childhood music environments. The research synthesizes interdisciplinary insights from educational psychology, digital pedagogy, and curriculum design to construct a structured framework that supports creativity, engagement, and skill acquisition in young learners. Drawing upon thematic analysis principles (Braun & Clarke, 2006), the study systematically examines existing pedagogical approaches and identifies gaps in current technology-mediated music instruction.
The proposed model emphasizes adaptive learning pathways, interactive digital interfaces, and data-informed instructional decision-making systems. It is grounded in constructivist and socio-cultural learning theories, highlighting the role of experiential engagement in fostering creativity and musical cognition. The findings suggest that computationally enhanced pedagogical environments can significantly improve learners’ creative thinking abilities, particularly when aligned with structured skill development frameworks (Dilekçi & Karatay, 2023).
The study contributes to educational technology research by offering a scalable model that integrates computational systems with early childhood music pedagogy. It also outlines implementation strategies, limitations, and future research directions for enhancing digital music education ecosystems.