Research on cultivating students’ creative thinking ability in art design teaching based on machine learning

Creative thinking is both an important part of scientific literacy and one of the most important indicators of the development level of students’ scientific literacy. In art and design teaching, the way of cultivating students’ creative thinking ability is particularly important. This paper initially constructs a set of evaluation index system covering 12 indicators, and invites 40 scientific career experts to conduct three rounds of research using the Delphi method, and optimizes the indicators of this evaluation system based on the results of the research and analysis. In order to assess students’ creative thinking ability more objectively, this paper introduces BP neural network, draws on its training process and genetic algorithm optimization to carry out computer algorithm simulation, which is applied in the comprehensive assessment of students’ ability. Combined with the results of the computer algorithm evaluation, this paper suggests that in the future art design teaching process, teachers should boldly innovate, change the original teaching mode, and focus more on the student’s subjectivity. At the same time, they should also promote the formation of students’ creative consciousness in various aspects, encourage students to put into practice, and help the growth and maturity of their creative thinking ability.