Research on the Employment Guidance Service Model for University Counselors Empowered by Generative AI

Yifan Zhang; Xiaoyu Fei

doi:10.54097/k496sm07

Authors

Yifan Zhang
Xiaoyu Fei

DOI:

https://doi.org/10.54097/k496sm07

Keywords:

Generative AI; University Counselor; Employment Guidance; Human-Machine Collaboration.

Abstract

The employment guidance work of college counselors is confronted with three dilemmas: outdated concepts, insufficient professional capacity, and limited service supply. The traditional experience-driven model struggles to meet the individualized needs of contemporary students. Generative Artificial Intelligence (AI), with its robust capabilities in data analysis and content generation, offers a crucial technological solution to these challenges. This paper first analyzes the practical value of generative AI in enhancing employment guidance. Subsequently, it proposes a four-in-one employment guidance service model—“Precise Profiling - Intelligent Matching - Full-process Companionship - Competency Training”—with the counselor as the principal agent and AI as the technical backbone. This model facilitates the digital representation of student characteristics, the precision delivery of job information, phased design of guidance services, and systematic training of job-seeking skills. By establishing a closed-loop service that spans the entire student lifecycle, this study aims to drive the transformation of employment guidance toward a data-driven and precision service paradigm, thereby providing both theoretical reference and practical guidance for improving the quality and efficiency of career education in higher education institutions.

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