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基于大数据分析的中学生身心素质监测与评价
引用本文:李欣悦,李玉洁.基于大数据分析的中学生身心素质监测与评价[J].电子科技,2019,32(4):85-90.
作者姓名:李欣悦  李玉洁
作者单位:1. 西安电子科技大学 附属中学,陕西 西安 7100712. 西安电子科技大学 计算机科学与技术学院,陕西 西安 710071
基金项目:国家自然科学基金(61672401)
摘    要:针对学校传统身心素质教育难以满足全面分析评价中学生身体和心理素质状况、提升学生锻炼身心素质的积极性、让教师和家长实时了解学生身心素质状况、并为学生身心素质锻炼和体育考试提供个性化指导的问题,文中采用大数据分析技术,研究了中学生的身心素质评价方法和个性化锻炼方案推荐方法,设计并实现了可分别为学生、教师和家长提供服务的基于移动终端的中学生身心素质监测与评价系统“青悦圈”。青悦圈的定点试验结果表明,其能够解决现有问题,满足中学生身心素质教育新需求。

关 键 词:大数据分析  身心素质监测  多维评价  个性化推荐  智能推荐  移动终端  
收稿时间:2018-03-18

Monitoring and Evaluation of Physical and Mental Quality of Middle School Students Based on Big Data Analysis
LI Xinyue,LI Yujie.Monitoring and Evaluation of Physical and Mental Quality of Middle School Students Based on Big Data Analysis[J].Electronic Science and Technology,2019,32(4):85-90.
Authors:LI Xinyue  LI Yujie
Affiliation:1. The Affiliated High School,Xidian University,Xi’an 710071 China;2. School of Computer Science and Technology,Xidian University,Xi’an 710071,China;
Abstract:It is difficult for the traditional physical and mental quality education of the school to comprehensively analyze and evaluate the physical and mental quality of middle school students, enhance the enthusiasm of students to exercise in physical and mental, let teachers and parents know the physical and mental quality of students in real time, and provide personalized guidance for students’ physical and mental quality training and physical examination. This paper adopted big data analysis technology to study the evaluation methods of physical and mental quality of middle school students and the recommendation methods of personalized exercise programs, and designed and implemented the physical and mental quality monitoring and evaluation system for middle school students based on mobile terminals, Qingyue Quan, which provided services for students, teachers and parents respectively. The results of the fixed-point test of Qingyue Quan showed that it solved the existing problems and met the new needs of middle school students’ physical and mental quality education.
Keywords:big data analysis  physical and mental quality monitoring  multi-dimension evaluation  personalized recommendation  intelligent recommendation  mobile terminal  
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