摘要
随着大数据时代的到来,大数据已经影响到社会生活的各个方面,数据分析和处理能力是现代大学生所需具备的基本能力之一.在大数据环境下需要高职院校结合社会的需求创新应用型人才培养的模式.本文分析了新时期高职学生数据能力的要求以及数据能力的培养,提出四层融合、四阶递进式高职学生大数据应用能力培养改革与创新模式.
With the arrival of the era of big data,big data has affected every aspect of social life,and the ability of data analysis and pro cessing is one of the basic abilities for modern college students.In the big data environment,higher vocational colleges need to innovate the application-oriented personnel training mode in combination with the needs of the society.This paper analyzes the requirements of data ability and the training of data ability of higher vocational students in the new era,and puts forward the reform and innovation mode of four-level integration and four-level progressive training of big data application ability of higher vocational students.
作者
周桃义
ZHOU Tao-yi(Hangzhou Wanxiang Polytechnic,Hangzhou 310023,China)
出处
《电脑知识与技术》
2020年第11期196-199,205,共5页
Computer Knowledge and Technology
基金
浙江省2019年教育厅项目“基于大数据技术探析学生在线有效学习模型构建”(Y201942539)的研究成果。
关键词
四层融合
四阶递进
高职
大数据应用
four-level integration
four-level progress
higher vocational college
big data application
作者简介
周桃义(1978-),男,本科,讲师,主要研究方向为大数据、物联网。
