Perspectives on Using Artificial Intelligence in Teaching Electrodynamics
Abstract
This article provides a scientific analysis of the current state and prospects for using artificial intelligence (AI) technologies in the teaching of electrodynamics. In particular, the impact of AI-based simulations, adaptive learning systems, and virtual laboratories on educational effectiveness is examined. According to research findings, the use of artificial intelligence increases students' understanding of complex electromagnetic processes by an average of 30–40% and improves their independent learning skills by 25–35%. Additionally, the use of AI has expanded the opportunity for individualized instruction, resulting in time savings (20–25%) and increased efficiency in error detection during the educational process. The article develops practical recommendations for implementing AI technologies in teaching electrodynamics using innovative methods.