创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (7): 1-4.

• 理论研究 •    下一篇

基于生成式AI背景的大学生就业指导课程建设研究

黄婷婷, 李衡   

  1. 绵阳城市学院,四川绵阳 621000
  • 出版日期:2026-04-10 发布日期:2026-07-01
  • 作者简介:黄婷婷(1992—),女,四川绵阳人,硕士研究生,副教授,研究方向:职业素质教育。
  • 基金资助:
    绵阳城市学院2025年教改项目“生成式人工智能背景下智慧课堂教学设计与应用研究——以‘大学生就业指导’课程为例”(CC-25JJ07); 绵阳城市学院2025年“一师一优课”课程建设项目“大学生就业指导”(MCYKXM2025037)

Research on the Construction of Employment Guidance Courses for College Students Based on Generative AI Background

HUANG Tingting, LI Heng   

  1. Mianyang City University, Mianyang Sichuan, 621000, China
  • Online:2026-04-10 Published:2026-07-01

摘要: 在生成式AI快速发展的背景下,大学生就业市场正经历着深刻变革,该文旨在通过构建新的就业指导课程框架,帮助大学生适应这一变化,提升其就业竞争力。该文分析了生成式AI对就业市场和课程的影响,梳理了岗位需求与技能要求的变化,以及传统就业指导课程存在的不足,进而构建适应生成式AI的课程内容,包括“三位一体”课程模块与“项目驱动与虚实融合”教学模式,以培养大学生所需的新知识与技能,同时,提出一系列保障措施,如提升师资AI素养、推进校企生态共建以及实现资源智能整合。

关键词: 生成式AI, 大学生就业指导, 课程建设, 师资素养, 资源整合, 校企共建

Abstract: Against the backdrop of rapid development of generative AI, the job market for college students is undergoing changes. This article aims to help college students adapt to this change and enhance their employment competitiveness by constructing a new framework for career guidance courses. This article analyzes the impact of generative AI on the job market and curriculum, identifies changes in job demands and skill requirements, as well as the shortcomings of traditional employment guidance courses, and constructs course content that adapts to generative AI, including the “three in one” course module and the “project driven and virtual real integration” teaching model, to cultivate new knowledge and skills needed by college students. At the same time, a series of safeguard measures are proposed, such as improving the AI literacy of teachers, promoting the co construction of school enterprise ecology, and achieving intelligent integration of resources.

Key words: Generative AI, Employment guidance for college students, Curriculum development, Teacher quality, Resource integration, Co-construction between schools and enterprises

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