Abstract:  “Advanced Electromagnetic Fields” is a core and foundational course for students majored in the electromagnetic field and wireless technology, serving as the prerequired course for other courses such as microwave engineering and antenna theory. This course focuses on solving the integral and differential forms of Maxwell’s equations. Learning of each knowledge point is based on numerous formula derivations, with strong theoretical and abstract concepts. The integration of artificial intelligence (AI) methods into the “Advanced Electromagnetic Fields” course not only preserves the teaching of core knowledge concepts and ensures sustainable development of the curriculum, but also incorporates cutting-edge AI algorithms, effectively stimulating students’ learning motivation. This article will take the teaching of eddy current testing problems in the “Advanced Electromagnetic Fields” course as an example. It introduces artificial intelligence algorithms into the full-wave simulation calculations of complex and cumbersome detection responses, combining complex numerical computations with mainstream AI algorithms. This approach avoids abrupt and dull teaching methods, sparking students’ enthusiasm for learning. By integrating practical engineering cases of eddy current testing, it incorporates theory into practice, enhancing student engagement and stimulating their potential.

Key words: artificial intelligence, teaching innovation, educational research, electromagnetic field theory, eddy current testing