大数据导向的高校体育智能教学决策系统建设

The construction of a big data-oriented intelligent teaching decisionmaking system for college sports

面对高校体育教学信息无序、离散特征,以大数据为导向设计高校体育智能教学决策系统,充分挖掘海量体育教学信息的内部规律与关联,发挥教学信息在教学决策方案制定中的价值.首先,设计包含数据层、支撑层、决策层的智能教学决策系统总体架构,明确系统在体育学习行为、训练效果、教学质量等方面的分析与决策功能;其次,基于关系数据库存储模式将体育关联数据转换至数据库中安全存储,利用ID3决策树算法挖掘体育教学中的价值信息,以此为依据与数据库信息匹配生成相应的体育教学决策方案.此系统增加了教学决策的智能化程度,减少了教师在教学方案设计中的时间开销,将更多的时间投入在因材施教层面.

Facing the disorder and discrete characteristics of physical education teaching information in colleges and universities,a big data-oriented intelligent teaching decision-making system for college physical education was designed to fully excavate the internal laws and associations of massive sports teaching information,and to give play to the value of teaching information in the formulation of teaching decision-making programs.First of all,the overall framework of the intelligent teaching decision-making system including the data layer,support layer and decision-making layer is designed to clarify the analysis and decision-making functions of the system in sports learning behavior,training effects,and teaching quality.Secondly,based on the relational database storage mode,the sports-related data is converted into the database for safe storage,and the ID3 decision tree algorithm is used to mine the value information in sports teaching,which is used as a basis for matching with the database information to generate the corresponding sports teaching decision-making plan.This system increases the intelligence of teaching decision-making,reduces the time expenditure of teachers in teaching program design,and devotes more time to teaching in accordance with their aptitude.