基于决策树算法的实践类课程分层教学研究

Research on Stratified Teaching of Practical Courses Based on the Decision Tree Algorithm

  • 摘要: 分层教学是满足不同学生群体的学习需求最有效的教学模式,根据学生学习能力不同,对学生进行精准分类是成功实施分层教学的关键。该文以液压与气动技术课程设计与实验课程为例,分析了影响学生课程设计能力的主要因素,根据支撑本课程的知识体系和培养目标,确定了学生的分类属性,采用决策树智能算法,以往届学生的数据为样本,建立了决策树分类模型,并分析了模型的有效性。

     

    Abstract: To meet the different learning needs of students, stratified teaching is the most effective teaching mode. Accurate classification for students is the key to the successful implementation of stratified teaching according to different learning abilities of students. Taking the course of Projects for Hydraulic and Pneumatic Technology as an example, this paper analyzes the main factors which affect students’ curriculum design ability. The classification attributes of students are determined according to the knowledge system and training objectives that support this course. The decision tree intelligent algorithm is used to classify the students, and the classification model is established with the data of previous students. Finally, the effectiveness of the model is verified.

     

/

返回文章
返回