Abstract
Objectives: The attention paid to art teaching is increasing. And according to the education curriculum, the Ministry of Education also formulates the corresponding exercises and the standards of achievement. Methods: Under this condition, the data mining technology was applied to the process of art achievement evaluation. Results: First of all, build the decision tree CI3 algorithm which got the result of the art test, and then sort out the data flow in the algorithm. In addition, contact with the student’s own art scores to test the algorithm and implement the data mining analysis to finally find the students. Conclusion: The characteristic information and the algorithm were constructed on behalf of the text have practicability, which had a certain positive effect on art education in colleges and universities.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
