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基于大数据的高校智慧校园学生综合测评系统设计与研究
作者姓名:茆灵铖  谢桂芳  邵周伟  时海茹  蒋秀莲
作者单位:徐州工程学院
基金项目:江苏省大学生创新创业训练计划项目(XCX2019056).
摘    要:当前,信息化正面临着一个全新的阶段,即以数据的深度挖掘和整合应用为核心的智慧化阶段,智慧校园已成为时下高校信息化建设的重要内容。分析高校信息化建设现状和Hadoop、Spark等大数据技术框架,并重点从数据存储层、核心业务层和信息展示层对智慧校园学生综合测评系统进行分析与设计,为大数据技术与智慧校园的深度融合提供方案。

关 键 词:智慧校园  数据挖掘  Hadoop和Spark

Design and Research of the Student Comprehensive Evaluation System for Smart Campus Based on Big Data
Authors:MAO Lingcheng  XIE Guifang  SHAO Zhouwei  SHI Hairu  JIANG Xiulian
Affiliation:(Xuzhou University of Technology,Xuzhou 221000,China)
Abstract:At present, informatization is entering a new stage, that is, the intelligent stage with data deep mining and integrated application as the core. Smart campus has become an important part of university information construction. This paper analyzes the current situation of university informatization construction and big data technology framework such as Hadoop and Spark, analyzes and designs the student comprehensive evaluation system of smart campus from data storage layer, core business layer and information display layer, so as to provide a scheme for the deep integration of big data technology and smart campus.
Keywords:smart campus  data mining  Hadoop and Spark
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