Reconstruction of the Curriculum System and Exploration of Practical Paths for "Introduction to New Energy Technology" Empowered by Artificial Intelligence

Against the backdrop of the global energy transition and the in-depth advancement of the "dual carbon" strategy, the demand for compound talents in the field of new energy technology is becoming increasingly urgent. As a core basic course for energy-related majors, the traditional teaching system of "Introduction to New Energy Technology" has problems such as lagging content updates and a single teaching mode. This paper systematically analyzes the necessity of reconstructing the curriculum system and proposes a four-dimensional reconstruction model of "goal - content - method - evaluation". Through practical paths such as building an intelligent teaching platform and developing interdisciplinary teaching resources, a curriculum system that ADAPTS to the needs of the new era is constructed. Research shows that the in-depth empowerment of artificial intelligence technology can achieve precise teaching, dynamic resources and diversified evaluation, providing a systematic solution for the cultivation of new energy technology talents.