دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Research on the teaching innovation path of art design based on big data technology
المؤلفون: Xu Jie
المصدر: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
بيانات النشر: Sciendo, 2024.
سنة النشر: 2024
المجموعة: LCC:Mathematics
مصطلحات موضوعية: rgb color model, big data analysis, berkhof equation, computer-assisted, art design, 97c70, Mathematics, QA1-939
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2444-8656
Relation: https://doaj.org/toc/2444-8656
DOI: 10.2478/amns.2023.2.01716
URL الوصول: https://doaj.org/article/6e57edaf969e41749cbb468bcfaea0f9
رقم الأكسشن: edsdoj.6e57edaf969e41749cbb468bcfaea0f9
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24448656
DOI:10.2478/amns.2023.2.01716