摘要
运用大数据技术构建教育大数据采集系统,将各种结构化数据、半结构化数据和非结构化数据等一起存入可实时更新的幸福教育数据库中,经过幸福感影响因素提取、幸福教育数据统计与分析、幸福教育大数据可视化等一系列处理之后,为高校幸福教育管理者提供幸福教育数据检索与统计、幸福教育数据比较、学生幸福感实时状况在线监测、幸福感指标值超出预定阈值的学生或团体发出预警等服务。最后根据幸福教育实时数据,为教育者的决策提供一定的参考指导建议。
All kinds of structured data,semi-structured data and unstructured data are stored in the real-time updated happiness education database using big data technology to build education big data collection system.After a series of processing,such as the extraction of happiness influencing factors,the statistics and analysis of happiness education data,and the visualization of happiness education big data,it provides the happiness education managers with services of the retrieval and statistics of happiness education data,the comparison of happiness education data,the online monitoring of the real-time situation of students'happiness,and the early warning of students or groups whose happiness indicator value exceeds the predetermined threshold.At the last,according to the real-time data of happiness education,it provides some reference and guidance for educators'decision-making.
作者
陆汝华
李亚兰
文波
杨攀
LU Ru-hua;LI Ya-lan;WEN Bo;YANG Pan(College of Software and Communication Engineering,Xiangnan University,Chenzhou423000,China;School of Electronic Information and Electrical Engineering,Xiangnan University,Chenzhou 423000,China)
出处
《电脑与信息技术》
2020年第3期57-59,共3页
Computer and Information Technology
基金
湖南省社会科学成果评审委员会课题(项目编号:XSP19YBZ111)
湖南省教育厅科研资助项目(项目编号:19C1716)
湖南省教育厅教学改革研究项目(项目编号:湘教通〔2018〕436号-705)
2019年湘南学院实验室开放项目(序号31)。
关键词
教育大数据
影响因素
幸福感
education big data
influencing factors
happiness
