Optimization Of The Game Improvement And Data Analysis Model For The Early Childhood Education Major Via Deep Learning

This article discusses the potential of Deep Learning (DL) technology in Early Childhood Education (ECE). It introduces a conceptual framework for employing DL technology in ECE, delves into the foundational principles of game design in ECE, and presents a comprehensive game improvement and data analysis (GIADA) model tailored to the ECE domain, enriched by incorporating convolutional neural network (CNN) technology. This study holds the potential to significantly benefit the education sector at large by serving as a technical reference for the proliferation of both DL technology and ECE.