大数据背景下高校毕业生就业指导实践路径  

Practical Path of Employment Guidance for College Graduates under the Background of Big Data

作　　者：王燕凝 张小瑞 WANG Yanning;ZHANG Xiaorui(Nanjing Tech University,Nanjing,Jiangsu 211800)

机构地区：[1]南京工业大学,江苏南京211800

出　　处：《科教导刊》2024年第33期137-139,共3页The Guide Of Science & Education

基　　金：2023年南京工业大学党建与思想政治教育研究课题“创业型省属高校慢就业影响因素及对策研究”(SZ20230336)。

摘　　要：大数据技术通过对海量数据的高效整合、深度挖掘和智能分析,为就业市场的动态监测、人才需求的精准匹配、个性化职业规划的科学制定等方面提供了强有力的支持。尤其在当前就业市场日益复杂多变、毕业生个性化需求不断提升的情况下,传统的就业指导模式已难以满足实际需求,迫切需要通过引入大数据技术进行深层次的革新与突破。针对当前校毕业生就业指导中的问题,要从树立大数据就业指导意识、健全毕业生就业服务体系、搭建就业指导大数据平台等方面实施改革,以实现对毕业生就业的精准指导。Big data technology provides strong support for dynamic monitoring of the job market,precise matching of talent demand,and scientific formulation of personalized career planning through efficient integration,deep mining,and intelligent analysis of massive data.Especially in the increasingly complex and changing job market,as well as the increasing personalized needs of graduates,traditional employment guidance models are no longer able to meet practical needs.There is an urgent need to introduce big data technology for deep level innovation and breakthroughs.In response to the current problems in employment guidance for graduates,it is necessary to implement measures such as establishing awareness of big data employment guidance,improving the employment service system for graduates,and building a big data platform for employment guidance,in order to achieve accurate guidance for graduates'employment.

关 键 词：大数据 高校 毕业生 就业 

分 类 号：G647[文化科学—高等教育学]