基于数据挖掘算法的大学生体育学习效果分析

Analysis on the Effect of College Students'Physical Education Learning Based on Data Mining Algorithm

基于教学信息管理平台、自主体能训练监测系统采集学生体育学习相关信息,进行归一化与缺失值补充处理;利用Apriori算法获取大学生体育学习信息之间的关联规则,通过删除与对比策略减少Apriori算法减少连接操作,提高学习效果分析的运算效率。数据挖掘算法获取的结果,对于教师诊断教学问题、构建特色教学课程体系均有积极帮助。

Based on the teaching information management platform and the independent physical training monitoring system,the relevant information of students’physical education learning is collected,and the normalization and missing value are supplemented.The association rules between College Students’sports learning information are obtained by using Apriori algorithm,and the Apriori algorithm is reduced by deleting and comparing strategies.The connection operation is reduced,and the operation efficiency of learning effect analysis is improved.The results of data mining algorithm are helpful for teachers to diagnose teaching problems and construct characteristic teaching curriculum system.