Teachers Understanding and Application of Deep Learning in Natural Disaster Mitigation Education: A Case Study
Anugrah Ayumaharani Widianingsih, Dita Astriningrum, Rani Siti Khoerunnisa

Study Program of Biology Education, Faculty of Mathematics and Natural Sciences Education, Universitas Pendidikan Indonesia, Dr. Setiabudhi Street No. 229, Bandung 40154, West Java, Indonesia

Abstract

This study investigates the understanding and application of deep learning in natural disaster mitigation education among teachers in disaster-prone areas, Sadangmekar Village, West Bandung Regency. Interactive blank maps were used as a learning medium, equipped with building icons to be placed in designated areas on the map. The teacher simulated the placement of various structures, followed by disaster scenarios to identify vulnerable buildings. The simulation was conducted after providing mitigation insights, and teachers evaluated the learning media through a questionnaire assessing the media^s effectiveness, changes in disaster awareness, ease of use, and the need for disaster mitigation education. The findings revealed that buildings designed by teachers were at an average risk of 24-31% of the affected buildings being impacted by disasters. As for the implementation of media-based deep learning, the results received very high scores on almost all indicators: media effectiveness (92%), awareness change (88%), ease of media use (64%), and educational need (88%). These results indicate that interactive mapping media in deep learning can significantly enhance disaster preparedness education in schools. This study contributes to fostering a deeper conceptual understanding and practical application among educators.

Keywords: Deep Learning, Learning Media, Natural Disaster Mitigation Education, Case Study

Topic: Biology and Biology Education