Research on the path of integration of aesthetic education and ideological and political education in folk art classroom teaching mode enabled by artificial intelligence

Deep learning is an inevitable trend in the development of teaching, which plays a good role in promoting art teaching. In this paper, we design a practice model for teaching art in colleges and universities with deep learning, and optimize the teaching plan, practice and assessment methods to promote students to enter the deep learning mode smoothly. Based on the theory of “deep learning”, it also analyzes the integration path of aesthetic education and ideological education. Through the analysis of the questionnaire, it can be seen that after the implementation of the teaching practice model, 78% of the students will actively participate in the communication and discussion, and the majority of the students recognize the teaching practice model, and begin to apply the classroom learning methods and cultivate the habit of independent study before class. The excellence rate and average score increased significantly after teaching. After the teaching of the integration of aesthetic education and ideology and politics, more than 60% of the students think that aesthetic education is very effective in improving the effectiveness of ideological and political education for college students. It can also enhance the impact of ideological and political education.