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

To meet the different learning needs of all students, stratified teaching is the most effective teaching mode. Accurate classification for students is the key to successful implementation of stratified teaching according to different learning abilities of students. By a case of “Projects for Hydraulic and Pneumatic Technology”, this paper analyzes the main factors that 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. The decision tree classification model is established with the data of previous students, and the effectiveness of the model is verified.