摘要
针对当前大学公共体育教学质量评价中缺乏科学、有效的评价手段,导致教学效率低下,教学内容枯燥的问题,需要对教育教学质量评价指标进行数据挖掘和分析,提升体育教学课程管理质量和效率。基于决策树技术进行数据的分类,提取体育课程中的数据特征和关系,结合ID3算法,通过信息增益检验决策树各级节点上数据的特征属性,建立树形分支,由各分支实例子集递归方式来建立决策树下一级节点和分支,指导该子集实例被划分为某一个类别,寻找影响大学体育课堂教学质量因素。教学内容在教学质量评价中占主导地位,直接影响教学质量的评价结果,采用决策树能为体育教学课程管理提供有价值的数据支持,有效提高体育教学课程管理质量和效率。
In view of the lack of scientific and effective means in the evaluation of public physical education teaching quality in colleges and universities,the teaching efficiency is low and the teaching content is boring.Through the data mining and analysis of the evaluation index of education and teaching quality,the data classification based on decision tree technology is carried out,and the data features and relations in physical education curriculum are extracted.Combined with ID3 algorithm,the characteristic attributes of data on all levels of the decision tree are tested by information gain,branches are established,and the lower level nodes and branches of the decision tree are established by the recurrence mode of each branch instance subset.These can guide to divide the instance of the subset into a certain category in order to find the influence on the physical education course of the university.The example shows that the decision tree can provide valuable data support for physical education curriculum management and effectively improve the quality and efficiency of physical education teaching curriculum management.
作者
王玉国
宋忠田
WANG Yuguo;SONG Zhongtian(Department of Physical Education and Sports,Aksu Vocational and Technical College,Aksu 843000,China)
出处
《微型电脑应用》
2020年第10期15-17,20,共4页
Microcomputer Applications
基金
2019陕西省体育局课题(2019094)。
关键词
体育教学
决策树算法
数据挖掘
physical education
decision tree algorithm
data mining
