北京航空航天大学学报社科版 ›› 2020, Vol. 33 ›› Issue (5): 147-152.DOI: 10.13766/j.bhsk.1008-2204.2019.0017

• 高教研究 • 上一篇    下一篇

高校学生工作数据挖掘的研究和实践

刘科生1, 倪义坤2   

  1. 1. 北京航空航天大学 经济管理学院, 北京 100083;
    2. 北京航空航天大学 学生工作部学生大数据中心, 北京 100083
  • 收稿日期:2019-01-07 发布日期:2020-10-10
  • 作者简介:刘科生(1982-),男,河北石家庄人,助理研究员,硕士,研究方向为高等教育、思想政治教育、教育大数据.
  • 基金资助:
    北京航空航天大学基本科研业务费项目(YWF-18-XGB-004)

Research and Application of Data Mining on College Student Affairs Management

LIU Kesheng1, NI Yikun2   

  1. 1. School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
    2. Big Data Center of Student Affairs Department, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2019-01-07 Published:2020-10-10

摘要: 运用数据挖掘等技术对高校学生工作数据进行分析研究,是思想政治工作传统优势同信息技术高度融合、现代信息技术与教育教学深度融合的重要举措。中国高校学生工作数据挖掘必须建立在深刻把握精准思政领域问题和高度重视智慧校园建设质量的基础上,通过全面系统地收集学生工作数据,科学地进行预处理、挖掘分析和展示应用,集成于一个能够全面感知学生综合状态、及时管控学生预警情况、有效指导学生全面发展的智能平台。

关键词: 数据挖掘, 学生工作, 精准思政, 大数据, 高等教育

Abstract: Analyzing the learning and behavioral data of college students using data mining technology is an important initiative for the integration of traditional college student affairs management with information technology. The data mining of concerning student affairs management must be conducted based on profoundly grasping the precise ideological-political problems and attaching great importance to the quality of smart campus construction. Data mining on college student affairs management should be integrated in an intelligent platform which can fully sense the comprehensive state of students after comprehensive and systematic collection of data, scientific data preprocessing, mining analysis and display applications. The platform should also promptly control the situation of students, and effectively guide students' all-round development.

Key words: data mining, student affairs management, precisely ideology and polity, big data, higher education

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