大数据技术下行业特色专业招生预警机制研究——以煤炭专业为例  

Research on Recruitment Early-warning Mechanism for the Major with Industry Features in the Big Date Technology—— A Case Study of the Coal Mine Major

作　　者：桑冬青[1] Sang Dongqing(Office of Academic Affairs,Huainan Vocational and Technical College,Huainan 232001,China)

机构地区：[1]淮南职业技术学院教务处,安徽淮南232001

出　　处：《黑河学院学报》2017年第12期80-81,共2页Journal of Heihe University

基　　金：2016安徽高校自然科学研究重点项目"大数据分析预测技术在高职院校自主招生工作的应用"(KJ2016A676)

摘　　要：针对行业特色专业目前招生工作中面临的新问题,结合淮南职业技术学院地处煤炭城市的特点,许多专业设置有明显的煤炭特色。而煤炭行业这几年的起落变化,直接影响着相关专业的报到情况。通过对学校的内外环境进行分析,并运用大数据预测分析技术总结了煤炭专业目前遇到的严峻形势,找到危机原因,从而找到新的机遇,最终提出预警意见作为招生方案制定时的参考。In view of the new problems faced in the recruitment of the major with industry features and the characteristics of Huainan Vocational and Technical College which is located in a coal city,this paper finds out many professional settings have obvious coal characteristics and the ups and downs of the coal industry in recent years directly affect the registration of relevant majors.This paper makes an analysis on the interior and exterior environment of the college,summarize the severe situation currently encountered by the coal mine major by virtue of the big data prediction analysis technique,finds out the reasons of crisis as well as new opportunities,finally proposes using early-warning suggestions for reference when formulating enrollment plans.

关 键 词：大数据技术 预警机制 煤炭专业 

分 类 号：G253[文化科学—图书馆学]