基于跨领域大数据融合的中学生成长智能服务系统设计

L. Wang
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引用次数: 0

摘要

国家非常重视中小学生综合素质的培养,应用智能技术服务教育受到青睐。目前的智慧校园服务技术已经不能满足数据采集、治理和辅助决策的需求。本文提出了一种创建多维度校园智能感知平台的方法,收集海量的多领域、多维度、异构的学生数据,并利用跨领域大数据融合技术建立学生成长智能服务平台。本方法设计了一个面向中学生成长的智能服务系统。该系统具有整合信息资源、推送有针对性、个性化的人才发展建议、对相关问题进行预警和干预等功能。这些结果可以更加客观、全面、高效地评价学生的综合素质,推动个性化教育,促进中学生的健康成长。
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DESIGN OF INTELLIGENT SERVICE SYSTEM FOR MIDDLE SCHOOL STUDENTS'GROWTH BASED ON CROSS DOMAIN BIG DATA FUSION
The state attaches great importance to the development of the comprehensive quality of primary and secondary school students, and the application of intelligent technology to serve education has been favored. The current smart campus service technology can no longer meet the requirements of data collection, governance and decision-making assistance. This paper proposes a method to create a multi-dimensional campus intelligent perception platform to collect huge multi-domain, multi-dimensional, and heterogeneous student data, and to use cross-domain big data fusion technology to establish a student growth smart service platform. This method designs a smart service system for the growth of middle school students. The system has the functions of integrating information resources, pushing targeted and customized talent development suggestions, as well as warning and intervention for related problems. These results can be more objective, comprehensive and efficient evaluation of students' comprehensive quality, push personalized education, and promote the healthy growth of middle school students.
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