Teaching Design and Exploration of Immunology Driven by Generative Artificial Intelligence

The rapid development of new artificial intelligence (AI) technologies is prompting profound transformations in education. Generative AI technologies (AIGC), represented by large language models, are revolutionizing knowledge production through human-computer interaction. AIGC serves as a significant driving force in developing new forms of productivity. This paper focuses on the application of AIGC in enhancing higher education teaching, specifically selecting the Chaoxing Learning Platform and utilizing certain domestic large-scale language model tools. Taking theoretical immunology teaching as an example, the paper preliminary explores the assistance and potential applications of AIGC for teachers in designing immunology teaching plans, content, and teaching activities. This exploration has improved teachers' efficiency and quality of instruction, promoted teaching reform, and provided a reference for further investigating the integration of AI with traditional teaching methods.