IMPLEMENTASI PEMBELAJARAN MENDALAM PADA PENDIDIKAN DASAR

Abstract

Current technological advancements are closely linked to child developmental psychology. Today's children have become active technology users, keeping pace with rapid developments, particularly regarding social media networks. This shift has a direct impact on students' learning processes and styles within the classroom. This study examines the implementation of Deep Learning at the elementary education level through a library research method. Along with the acceleration of digital transformation, Deep Learning offers significant opportunities to create a more adaptive learning system for early childhood students. This research aims to map the utilization of such technology and analyze the accompanying effectiveness and challenges based on various recent scientific literatures. The results of the literature review indicate that the application of Deep Learning in elementary schools is predominantly realized through intelligent tutoring systems and predictive analysis of student learning difficulties, thereby enhancing student comprehension and literacy skills. The findings conclude that while this technology can significantly improve student engagement and understanding, its success heavily depends on digital infrastructure readiness and teacher competence in managing technology. Overall, Deep Learning can serve as a pillar of instructional innovation in primary education.