The rapid development of artificial intelligence (AI) technology has brought unprecedented opportunities and challenges to electrical engineering and automation education. This paper explores the innovative reconstruction of curriculum systems in electrical engineering and automation majors through AI empowerment, examining theoretical frameworks, practical implementation pathways, and educational outcomes. By analyzing current educational practices and emerging trends, this study proposes a comprehensive approach to integrating AI technologies into traditional electrical engineering curricula while maintaining disciplinary foundations. The research emphasizes the importance of interdisciplinary integration, practical skill development, and adaptive learning methodologies in preparing students for Industry 4.0 demands.

Yiwei Chen, Shu Wu, Haoxuan Xu. Innovative Reconstruction and Practical Pathways of AI-Empowered Curriculum System for Electrical Engineering and Automation Major. Frontiers in Educational Research (2026), Vol. 9, Issue 3: 33-38. https://doi.org/10.25236/FER.2026.090305.

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