数据挖掘在职教系统中的应用  

Application of Data Mining in Vocational Education System

作　　者：马岩 孙玉玲 曲昱晓 Ma Yan;Sun Yu-ling;Qu Yu-xiao(Beijing Guodiantong Network Technology Co.,Ltd.,Beijing 102200,China)

机构地区：[1]北京国电通网络技术有限公司,北京102200

出　　处：《科学与信息化》2024年第17期163-165,共3页Technology and Information

摘　　要：随着全球经济竞争的日益激烈和人才需求的不断增长,职业教育变得愈发重要。而现代职业教育系统中,数据挖掘作为一种强大的工具,正在发挥着越来越重要的作用。通过对海量数据的分析和挖掘,职业教育系统能够提供个性化的学习支持和精确的职业发展指导。基于此,本文从各多方面分析数据挖掘在职教系统中的应用,总结归纳科学的策略,以期提供参考。With the increasingly fierce competition in global economy and the growing demand for talents,vocational education has become increasingly important.In the modern vocational education system,data mining,as a powerful tool,is playing an increasingly important role.Through the analysis and mining of massive data,the vocational education system is able to provide personalized learning support and accurate career development guidance.Based on this condition,this paper analyzes the application of data mining in the vocational education system from various aspects,and summarizes the scientific strategies for reference.

关 键 词：数据挖掘 职教系统 应用 

分 类 号：G71[文化科学—职业技术教育学]