Jihua Gao

Against the backdrop of the popularization of higher education and the diversification of the job market, the precision and personalization of career planning courses for college students have become two key demands for improving the quality of education. Traditional course models, constrained by limited teaching resources and diagnostic tools, struggle to address individual differences and evolving developmental needs among students. AI technology provides technical support for curriculum innovation with its core advantages such as data processing, intelligent analysis and adaptive interaction. Based on the core pain points of college students’ career planning, this paper departs from the dimension reconstruction of needs diagnosis and the technological realization pathways to explore the application value of AI in interest trait identification, competency deficit localization, and occupational cognition bias calibration, and then propose personalized guidance strategies covering the dynamic generation of course content, intelligent feedback in the guidance process, and long-term monitoring of career development, aiming to provide practical reference for promoting career planning courses to shift from “standardized provision” to “personalized fulfillment”.

AI Technology; Career Planning Course; Precise Needs Diagnosis; Personalized Guidance; College Students

[1] Yanhong Tu,Xiaoting Geng.(2025)Innovation in Teaching Models for College Career Planning Courses under the Background of Digital Transformation[J].Shanxi Youth,18,113-115. [2] Jiao Li.(2025)Ideological and Political Education in College Career Planning Courses under the Background of Informatization[J].Time Report,8,126-128. [3] Chengcheng Yan.(2025)Application of Flipped Classroom in the Teaching of Career Planning Courses for College Students Majoring in Industrial Engineering[J].Educational Informatization Forum,6,43-45. [4] Minyan Mo.(2025)Teaching Reform and Practice of College Career Planning Courses[J].Journal of Jiamusi Vocational Institute,41(05),145-147. [5] Xiqiang Qu,Yingfu Huang,Lina Zhang.(2024)Optimization and Innovation Strategies for College Career Planning Courses under the New Situation[J].Scientific Consult,12,24-28.

点击下载PDF