人工智能支持下医学免疫学个性化学习路径设计与实证研究

中图分类号：G642

文献标识码：A DOI：10.16400/j.cnki.kjdk.2026.8.003

Design and Empirical Research on Personalized Learning Path of Medical Immunology Supported by Artificial Intelligence

JIANG Xue， WANG Qingshuang， PANG Chunying （Changchun University of Science and Technology， Changchun， Jilin ）

AbstractThe knowledge system of medical immunology courses is complex，with abstract concepts and intricate mechanisms.The design of personalized learning paths under traditional teaching models faces practical challenges such as insufficientaccuracy in diagnosing learning situations，lack of targeted matching oflearning resources，and weak ability todynamically adjust paths.The article is supported by artificial intelligence technology and explores the design strategies and implementation plans ofpersonalized learning paths in medical immunology fromthreedimensions： learning analysis driven diagnosis and learner profiling， intelligent matching of learning resources supported by knowledge graphs，and dynamic leaming path generation and optimization for individual diferences.The aim is to provide reference and guidance for the teaching reform of basic medical courses.

Keywordsartificial intelligence; medical immunology; personalized learning

教育公平与因材施教的矛盾由来已久，在班级授课制框架下，如何兼顾群体教学效率与个体学习需求，始终是困扰教育工作者的核心命题。（剩余4543字）