人工智能 , 学生就业 , 就业管理 , 就业预测 , 动态适配机制 ," /> 人工智能 , 学生就业 , 就业管理 , 就业预测 , 动态适配机制 ,"/> 人工智能驱动的高校就业管理动态适配机制研究
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吉林化工学院学报, 2026, 43(4): 16-22     https://doi.org/10.16039/j.cnki.cn22-1249.2026.04.004
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人工智能驱动的高校就业管理动态适配机制研究
王硕鹏,许波*
东北电力大学 招生就业处,吉林 吉林 132012
Research on the Artificial Intelligence-Driven Dynamic Adaptation Mechanism for University Employment Management
WANG Shuopeng, XU Bo*
Recruitment and Employment Department, Northeast Electric Power University, Jilin City 132012, China
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摘要 “人工智能”时代的到来和人工智能技术的广泛应用为高校学生就业管理开辟了新路径,弥补了传统数据处理方式的不足之处,提高了数据处理的效率和质量,优化了就业服务与职业规划流程,旨在提升大学生就业率。结合高校就业数据管理现状,从数据收集与存储、数据处理与挖掘以及数据应用等方面,构建起基于人工智能的高校就业管理机制,辅助高校完成就业数据集成管理、就业去向预测以及就业资讯和就业指导的精准推荐,并对未来人工智能背景下高校就业服务的发展趋势进行展望。
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王硕鹏
许波
关键词:  人工智能 ')" href="#">

人工智能   学生就业   就业管理   就业预测   动态适配机制     

Abstract: The advent of artificial intelligence(AI) and the extensive application of AI technology have opened new paths for the employment of college students. The technology made up for the shortcomings of traditional data processing methods, enhanced the efficiency and quality of data processing and optimized the employment service and career planning process, which helped achieve the employment effectiveness of college students. In this paper, the current situation of employment data management in colleges and universities is considered to construct an AI-based employment management mechanism which includes data collection and storage, data processing and mining, and data application. The mechanism assists colleges and universities in completing the integrated management of employment data, the prediction of employment destinations, and the precise recommendation of targeted information and employment guidance. In the end, the author shows his outlook for the development trend of employment services in colleges and universities in the context of AI development.
Key words:  artificial intelligence    student employment    employment management    employment prediction    dynamic adaptation mechanism
               出版日期:  2026-04-25      发布日期:  2026-09-06      整期出版日期:  2026-04-25
:  G 647.38  
引用本文:    
王硕鹏, 许波. 人工智能驱动的高校就业管理动态适配机制研究[J]. 吉林化工学院学报, 2026, 43(4): 16-22.
WANG Shuopeng, XU Bo. Research on the Artificial Intelligence-Driven Dynamic Adaptation Mechanism for University Employment Management. Journal of Jilin Institute of Chemical Technology, 2026, 43(4): 16-22.
链接本文:  
https://xuebao.jluct.edu.cn/CN/10.16039/j.cnki.cn22-1249.2026.04.004  或          https://xuebao.jluct.edu.cn/CN/Y2026/V43/I4/16
[1] 王硕鹏. 基于区块联盟链的学生就业大数据平台研究 [J]. 吉林化工学院学报, 2022, 39(12): 30-34.
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