Pelatihan Pengembangan Pembelajaran Seni Berbasis Pendekatan Deep Learning di Sekolah Dasar

Abstract

This study aims to examine the effectiveness of a Deep Learning–based arts education training program in enhancing the understanding of elementary school teachers in Garut Regency. The Deep Learning approach emphasizes conscious, meaningful, and joyful learning through holistic engagement of cognition, emotion, senses, and physical activity. The research employed a quantitative method with a pre-experimental One-Group Pretest–Posttest Design involving 20 elementary school teachers. A set of 13 indicators measuring teachers’ understanding of Deep Learning was assessed before and after the training. The results indicate a significant improvement in teachers’ comprehension, with an average N-Gain score of 0.65, categorized as moderate to high. The greatest increases were observed in teachers’ philosophical understanding of Deep Learning (from 18.20% to 33.30%), their ability to design music learning (from 4.50% to 50.00%), and their ability to design dance learning (from 4.50% to 38.90%). Overall, the training proved effective in strengthening teachers’ pedagogical competence in implementing the Deep Learning approach within arts education at the elementary level.