With
the rapid development of artificial intelligence technology, generative AI is
being increasingly applied in the field of education. Taking the physics course
for pharmacy majors as an example, this study explores the practical
application of generative AI technology, especially large language models, in
course teaching. The article first outlines the development status of generative
AI technology and its advantages in education. Combining the characteristics of
physics for pharmacy majors, the article proposes strategies for applying AI
tools in the pre-class preparation, in-class teaching, and post-class learning
stages. Using ChatGPT and ZhipuQingyan as examples, this paper demonstrates the
practical application of AI tools in generating teaching materials, assisting
classroom discussion, providing personalized tutoring, and grading assignments,
and analyzes their positive impacts. At the same time, the article also points
out the challenges such as content accuracy and privacy protection, and puts
forward corresponding countermeasures and suggestions. Finally, the article
looks forward to the future development trend of generative AI in education,
emphasizing its great potential in improving teaching quality and students'
learning experience. This study provides theoretical reference and practical
guidance for the application of generative AI in smart education.