Physics is the foundation of the natural sciences, and its disciplinary ideas and methods have played a significant guiding role in the origins and development of artificial intelligence (AI). In order to better grasp the development trends of frontier technologies and closely follow the pulse of the times, this paper centers on three core scenarios—teaching, learning, and assessment—in university physics courses with regard to artificial intelligence, and builds an AI-driven framework for curriculum reform. The application of artificial intelligence technology can enhance students' understanding of abstract physics concepts and their experimental operation skills, increase learning motivation, reduce teachers' repetitive workload, and promote the intelligent and equitable development of higher education physics. This paper also analyzes the challenges faced by AI in university physics teaching and looks ahead to future development trends, aiming to provide theoretical references and practical guidance for the reform of university physics teaching.

Lai Zhangli, Zeng Xianshi. Applied Research and Practice of Artificial Intelligence in University Physics Courses. International Journal of New Developments in Education (2026), Vol. 8, Issue 4: 7-13. https://doi.org/10.25236/IJNDE.2026.080402.

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