摘要
在大量数据资源中使用数据挖掘技术后,可以获取其中隐藏的所需信息,主要应用在知识预测领域中。针对在校大学生群体体育成绩的研究,可以预测学生后续学习的成绩,采用定期方式收集、整理以及研究学生体育成绩信息,从而更好地保障高校体育教学品质。在教学时使用数据挖掘技术,能够符合所有参与者的实际教学需要:参考研究结论能够给学生推荐优化学习效率的课程体系与材料资源;教师能够参考具体的学习反馈结果进行因材施教式授课活动;高校管理层结合研究结论完善本校课程设置机制等。
After using data mining technology in a large number of data resources,the hidden required information can be obtained,which is mainly used in the field of knowledge prediction.The research on the physical performance of college students in school can predict the subsequent learning performance of students,and adopt regular methods to collect,organize and research the information of student sports performance,so as to better guarantee the quality of college physical education.The use of data mining technology in teaching can meet the actual teaching needs of all participants:refer to research conclusions to recommend curriculum systems and material resources that optimize learning efficiency;teachers can refer to the specific learning feedback results to teach students according to their aptitude;the management of colleges and universities should improve the curriculum mechanism of the university in combination with the research conclusions.
作者
卢佳
LU Jia(Zhengzhou University of Industrial Technology,Zhengzhou,Henan Province,451100 China)
出处
《科技资讯》
2021年第27期194-195,198,共3页
Science & Technology Information
关键词
数据挖掘技术
成绩分析
体育成绩
技术应用
Data mining technology
Performance analysis
Sports performance
Technology application