【摘要】 决策树是数据挖掘技术中一种有指导的分类方法,它可以通过构建决策树对数据进行分类预测。课堂教学评价是目前高校普遍采用的一种课堂教学评价方法,运用决策树算法对课堂教学评价数据进行分析,构建课堂教学效果的决策树模型,挖掘出影响课堂教学效果的关键因素为教师有针对性地改进课堂教学方法、提高课堂教学质量提供科学有效的参考依据。更多还原

【Abstract】 Decision tree is a kind of guided classification method in data mining technology. It can classify and forecast data by constructing decision tree.Classroom teaching evaluation is a kind of classroom teaching evaluation method widely used in colleges and universities at present. The decision tree algorithm is used to analyze the data of classroom teaching evaluation and to construct the decision tree model of classroom teaching effect, on the one hand, we can find out the key factors that affect the classroom teaching effect, and on the other hand, we can predict the teacher’s classroom teaching effect, it provides a scientific and effective reference for teachers to improve classroom teaching methods and improve the quality of classroom teaching.更多还原