Research on the teaching innovation path of art design based on big data technology

Abstract

Art and design, as a professional field closely linked with market demand, is imperative to reform the teaching mode. In this paper, the concept of constructivism is incorporated into the professional education of art design, and a new teaching framework is established through the guidance of teaching concepts. Secondly, the RGB color model is applied in the teaching of color design, and the beauty of the color scheme is calculated through the Berkhof equation in color harmony so as to improve the color-matching ability of students’ art design. Big data analysis is used to evaluate the students’ design works comprehensively. Finally, taking College H as an example, the effectiveness of computer-aided teaching in graphic arts design is analyzed, and the impact of the method on the employment of graduates is verified. The results show that in the experimental group using computer-assisted teaching and the control group of traditional teaching mode, the average grade difference is 17.91 points, Sig=0.003. The difference is significant, which indicates that computer-assisted teaching significantly improves the students’ art design professional ability. This innovative model has a significant impact on the enhancement of art design majors in colleges and universities and provides a practical path for innovative artistic design teaching.

Keywords

• rgb color model
• big data analysis
• berkhof equation
• computer-assisted
• art design
• 97c70