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

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.