基于大数据技术的高职扩招对象学情分析  

Analysis on the Learning Situation of Higher Vocational Enrollment Expansion Objects Based on Big Data Technology

作　　者：汪海涛[1] 黄静潇[2] 黄文豪 WANG Haitao;HUANG Jingxiao;HUANG Wenhao(College of Information&Automation,Guangdong Polytechnic of Science and Trade,Guangzhou 510430,China;Department of Economic Management,Guangdong Polytechnic of Science and Trade,Guangzhou 510430,China)

机构地区：[1]广东科贸职业学院信息与自动化学院,广东广州510430 [2]广东科贸职业学院经济管理学院,广东广州510430

出　　处：《现代信息科技》2021年第3期117-120,共4页Modern Information Technology

基　　金：广东省教育科学“十三五”规划2020年度研究项目(2020GXJK304);广东省普通高校特色创新类项目(2019GKTSCX038);广东省教育厅与思科公司产学合作协同育人项目(职业教育类)(GDZJJG-CISCO2018010103)(粤教职函〔2018〕182号)。

摘　　要：采用大数据技术对高职扩招对象进行学情分析与研究,做好高职扩招学生人才培养工作,确保质量型扩招。采用数据预处理、关联规则挖掘、分类、聚类等大数据技术,筛选学情分析数据,在大数据系统平台对有效数据进行分析,得出科学合理的高职院校信息类专业扩招对象的学情分析数据。制定了分层教学内容和教学方法,提高了高职扩招学生的人才培养质量。Big data technology is used to analyze and study the enrollment expansion objects learning situation in higher vocational colleges,so as to do a good job in personnel training and ensure the quality-oriented enrollment expansion.Using data preprocessing,association rules mining,classification,clustering and other big data technology,the paper selects the data of academic situation analysis,analyzes the effective data in the big data system platform,and obtains the scientific and reasonable learning situation analysis data of the enrollment expansion object of information specialty in higher vocational colleges.The hierarchical teaching contents and methods have been formulated to improve the quality of personnel training of higher vocational students.

关 键 词：高职 扩招 大数据 学情分析 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]