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

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.