Liaoning Path of "Three Teachings" Reform Driven by Generative AI in Universities

Abstract

This paper discusses the path of "Three Teachings" reform in Liaoning universities driven by generative AI, analyzes the challenges faced by universities in Liaoning in terms of teaching staff, textbook construction and teaching methods, and puts forward corresponding solutions. This paper proposes to build a reform ecology with deep integration of technology and education, and realize a high-quality development pattern of "teachers make good use of AI to improve teaching", "teaching materials are embedded in AI to reflect the frontier" and "teaching methods rely on AI to stimulate innovation" through three dimensions: remolding teachers' ability, innovating teaching materials and innovating teaching methods. At the same time, the article emphasizes the coordinated support of system, platform and ecology, and provides guarantee for the path landing through policy guidance, platform construction and school-enterprise cooperation. This study provides theoretical guidance and practical path for the reform of "Three Teachings" in universities in Liaoning, and also provides reference for the reform of higher education in other regions.