AI Technology Application Research in the Teaching of Power System Analysis Course
Abstract
Traditional approaches to teaching the power system analysis course face challenges such as abstract and difficult-to-understand content, single teaching method, and limited practical links. In response, this paper explores in depth the significance and strategies of applying AI technology in the teaching of the course. The aim is to enhance students’ ability to understand and apply knowledge, and to cultivate well-qualified technical professionals who can adapt to the intelligent development needs of the power industry. The proposed strategies include building an intelligent learning diagnosis platform, providing personalized learning guidance, developing an AI-integrated curriculum system, fostering a “dual-qualified and interdisciplinary” teaching team, and establishing a diversified assessment and evaluation system.
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