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  • 标题:Data Mining-based Design and Implementation of College Physical Education Performance Management and Analysis System
  • 本地全文:下载
  • 作者:Yimeng Fan ; Yu Liu ; Haosong Chen
  • 期刊名称:International Journal of Emerging Technologies in Learning (iJET)
  • 印刷版ISSN:1863-0383
  • 出版年度:2019
  • 卷号:14
  • 期号:06
  • 页码:87-97
  • DOI:10.3991/ijet.v14i06.10159
  • 出版社:Kassel University Press
  • 摘要:The purpose of this paper was to effectively apply data mining technology to sci-entifically analyze the students' physical education (PE) performance so as to serve the physical teaching. The methodology adopted in this paper was to apply ASP.NET 3-layer architecture and design and implement college PE performance management and analysis system under the premise of fully analyzing the system requirements based on Visual Studio2008 software development platform and using SQL Server 2005 database platform. Based on data mining technology, students' PE performances were analyzed, and decision tree algorithm was used to make valuable judgments on student performance. The results indicated that applying computer technology to the management and analysis of college PE per-formance can effectively reduce the teaching and managing workload of PE teachers so that the teachers concentrate more on the quality of physical educa-tion.
  • 关键词:physical education (PE);data mining;system requirements;decision tree algorithm
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