基于大数据的学籍预警管理的关键技术与系统设计

Key technology and system design of student status early warning management based on big data

基于大数据思想及技术架构,对收集的各学院各专业各学生的考试成绩数据进行整理、清洗,筛选出特定条件数据以可视化方式展示并实现对特定群体的学籍预警。本文首先分析了学校学生成绩管理和学籍预警的现状及意义。接着引入大数据技术,设计以Hadoop为核心的学籍预警系统,规范基于大量学生成绩的智能数字化教学服务管理流程及学籍预警管理制度。最后,提出学籍预警管理项目的大数据关键技术与系统设计的具体实施路径。

In view of the thought of big data and its technical architecture, screened given data can be visualized so that specific groups can be applied to the pre-warning system of student’s management via collecting the test scores of students in various schools and majors. In the first place, this paper illustrates the current condition and importance of grade management system as well as pre-waning system.Subsequently, the big data technology is introduced so as to design a pre-warning system of student’s management, with the core Hadoop, standardizing the process of intelligent digitalizing teaching management and pre-waning system based on a large number of test scores. In the end, critical technology of big data in pre-warning system and concrete implementation manners of system designing are suggested.