Jurnal Euforia
Vol. 3 No. 1 (2026): Edisi Februari 2026

Deep Learning sebagai Strategi Adaptif dalam Meningkatkan Kualitas Pendidikan Anak Usia Dini

Najiich, Muchammad (Unknown)
Titi Lestari (Unknown)



Article Info

Publish Date
05 Feb 2026

Abstract

This study aims to analyze the implementation of deep learning as an adaptive strategy to improve the quality of early childhood education. A descriptive qualitative literature review was employed using thematic mapping of relevant studies published between 2021 and 2025. The findings indicate that most early childhood educators have a limited understanding of deep learning, commonly equating it with the use of digital media. Learning practices and lesson plans remain one-directional and focus on memorization, which hinders children’s reflective thinking skills. However, exploratory activities such as gardening and role play show strong potential to foster critical thinking, autonomy, and self-reflection in children. Key supporting factors include visionary school leadership, collaborative culture, and family involvement. In conclusion, deep learning can become a transformative pedagogical approach if supported by continuous teacher training and institutional reinforcement.

Copyrights © 2026






Journal Info

Abbrev

euforia

Publisher

Subject

Education

Description

Jurnal Euforia is an peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of early childhood educatuion. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed ...