Integration Of Deep Learning Approach In Developing Innovative Teaching Behavior Of Elementary School Teachers

Abstract

This study aims to explore the integration of deep learning approaches in developing innovative teaching behaviors among elementary school teachers. The background of research stems from the need to improve the quality of learning through adaptive, creative, and technology-based teaching strategies. The research method used was an exploratory qualitative approach through interviews, observations, and documentation studies. The results indicate that the implementation of deep learning integration has not been optimally implemented. This is due to limited teacher competency in understanding the concept of deep learning, minimal technological infrastructure support, resistance to change, and suboptimal support from school principals. Other obstacles that arise are limited infrastructure and teacher resistance to changes in learning patterns. This study recommends the need for ongoing training programs, school policy support, and intensive mentoring so that deep learning integration can be effective in developing innovative teaching behaviors among teachers.

Keywords: Deep Learning Approach, Behavioral Development, Innovative Teachers