创新创业理论研究与实践 ›› 2020, Vol. 3 ›› Issue (23): 4-6.

• 理论研究 • 上一篇    下一篇

基于大数据的高校走读生管理对策研究

王猛   

  1. 扬州大学,江苏扬州 225009
  • 发布日期:2021-03-18
  • 作者简介:王猛(1987,8-),男,安徽宿州人,硕士,助理研究员,研究方向:高校学生思想政治教育、学生教育管理。
  • 基金资助:
    2019年度扬州大学人文社会科学研究基金(学生工作)专项课题“基于大数据的高校非寄宿生教育管理研究”(xjjxg2019—10)

Research on the Management Countermeasures of University Day Students based on Big Data

WANG Meng   

  1. Yangzhou University, Yangzhou Jiangsu, 225009,China
  • Published:2021-03-18

摘要: 该研究采用问卷调查的方式,对高校走读生群体、走读原因、走读生学习和生活状况、消费水平、走读生心理适应性等方面进行调查,并对结果进行分析,从班级、家庭、第二课堂等方面提出对走读生教育管理的方法对策;同时以学生需求为导向,提出“互联网+走读生”的教育管理模式,探究通过学生公寓信息化、智能化建设,运用大数据为高校走读生提供精准化服务的发展路径,以期更好的发挥学生公寓作为育人阵地的重要作用,,完善学生公寓服务育人的发展理念。

关键词: 大数据, 走读生, 高校, 教育

Abstract: The research is launched in the form of questionnaire, which investigates day students' groups, reasons, conditions of study and life, consumption levels, psychological adaptation, etc. After that, the author analyze the questionnaire data,put forward strategy on day students management according to class, family,the second class and some other aspects.Meanwhile, this paper takes the student demand as the guidance, and proposes the education management mode of "Internet plus day students". It also explores the development path of providing precise service for college students through the big data through the construction of information and intelligence in student apartments, in order to better play the important role of student apartments as a place for educating people, and improve the development concept of student apartment services and education.

Key words: Big data, Day students, High school, Education

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