关键词: 生成式人工智能, 大学生职业生涯规划课程, 教学路径, 个性化学习, 多模态情境, 智能资源

Abstract: The current career planning courses for college students have problems, such as a single teaching method, lagging resource updates, and insufficient personalized guidance. Generative artificial intelligence, with its content generation ability and interactive characteristics, provides a new breakthrough for the teaching reform of this course. The article explores the application path of generative artificial intelligence in curriculum design, resource development, interactive teaching, and other aspects, and constructs an intelligent driven, personalized, and collaborative innovation curriculum teaching framework. It provides theoretical references and practical strategies for the innovative development of college students'career planning courses, ensuring that college students have a better learning experience in multimodal teaching contexts, resource utilization, and teacher-student interaction scenes. This provides clear guidance for college students'future employment and the formulation of personal career goals, meeting the practical needs of optimizing university curriculum teaching.

Key words: Generative artificial intelligence, College students career planning course, Teaching path, Personalized learning, Multimodal context, Intelligent resources