摘要
随着互联网的发展,数据可视分析理论、技术和产品迅速普及,并渗透到各个行业。中国教育信息化经历了网络化和数字化阶段,正处于集成化和智慧化,进一步提升教学教育治理能力阶段。该文旨在研究数据可视化在教育行业的应用,在不影响学校原有信息系统运行的情况下集成可视分析数据门户。学校采集和存储了丰富校园数据,包括成绩、考勤和消费等各方面的数据。在这些数据的基础上,对学生成绩、教学状况等进行分析,并应用可视化技术展示分析成果。在敏捷开发理论指导下,应用云计算、数据仓库和商业智能等技术和产品,在云端集成校园数据,搭建可视分析数据门户。该成果是数据可视化技术在传统教育行业的一次有效实践,目的在于服务教学设计,优化学生管理,推动智慧校园建设。
With the development of the Internet,the theory,technology and products of data visual analysis are rapidly popularized and penetrated into various industries.China’s education informatization has generally experienced the stage of interconnection and digitization,and is in the stage of integration and intelligence,further enhancing the ability of teaching and education governance.We aim to explore the application of data visualization in the education industry and integrate data portals without affecting the operation of the school’s original information systems.The school collects and stores a wealth of campus data,including scores,attendance,and consumption.On the basis of these data,the student’s achievements and teaching status are analyzed,and the results of the analysis are displayed by visual techniques.Under the guidance of agile development theory,we comprehensively apply technologies and products such as cloud computing,data warehouse and business intelligence to integrate campus data in the cloud and build a visual analysis data portal.This achievement is an effective practice of data visualization technology in the traditional education industry,which aims to serve the instructional design,optimize student management and promote the construction of smart campus.
作者
赵金晖
程学林
张圣扬
张微
尹天鹤
ZHAO Jin-hui;CHENG Xue-lin;ZHANG Sheng-yang;ZHANG Wei;YIN Tian-he(School of Software Technology,Zhejiang University,Ningbo 315100,China;Ningbo SLianSoft Limited Company,Ningbo 315100,China;Ningbo University of Technology,Ningbo 315100,China)
出处
《计算机技术与发展》
2021年第3期144-148,共5页
Computer Technology and Development
基金
浙江省基础公益研究计划项目(2014C31076)
2020年中央教改-浙江大学“十三五”教改项目第二批一期(zdjg19072)。
关键词
学习分析
商业智能
敏捷开发
数据集成
云计算
learning analysis
business intelligence
agile development
data integration
cloud computing
