In the process of China’s rapid development, the society has higher and higher requirements for educational reform. Different from other basic disciplines, design emphasizes practicality, which requires that in the process of design education reform, more attention should be paid to the stimulation of students’ subjective initiative and the improvement of students’ ability to solve problems in the face of setbacks. This paper methodically expounds on a more scientific manner of curriculum reform fit for China’s educational system, based on positive psychology and consideration of grit. It performs research and analysis on the design education curriculum reform on the basis of positive psychology through field research, logical analysis, and other research methodologies. Designing education curriculum reform based on positive psychology orientation is more feasible than standard education curriculum reform and the role of grit in taking part in the educational curriculum reform oriented to positive psychology is considerably higher than that in the conventional educational curriculum reform, according to experimental study.
As an important element for the continuation and development of modern design, traditional Chinese decorative patterns are to satisfy people's emotional dependence on nationality and tradition. At present, traditional patterns are mostly completed by professional designers. Due to the high dependence of the entire design process on labor, the design e ciency is di cult to quickly improve to meet the explosive growth of business needs. However, the large amount of material data on the Internet and the development of arti cial intelligence technology provide an opportunity to solve this development bottleneck. This paper mainly studies the design and implementation of the automatic generation of traditional pattern image layout based on the generation of confrontation network and the use of aesthetic evaluation to score the quality of the generated traditional pattern image. And the scoring results are fed back to the traditional pattern layout generation network, so as to improve the quality of the generated traditional pattern layout pictures, so that the entire network structure can adapt to different scene requirements. The results show that the SSIM value of the structure similarity obtained by the image of the traditional pattern automatically generated by the model in this paper is larger and closer to 1 than the value of the SSIM obtained by other methods, indicating that the image of the traditional pattern automatically generated by the model has the highest aesthetic quality.
Jinnan (Southern Shanxi) embroidery is a traditional Chinese folk handicraft. In this study, we collected a large number of historical resources and theoretical materials of Jinnan embroidery and randomly sampled 100 works as research objects. These works were compared, and the artistic expression and implication in these works were analysed. We found that animal patterns are the main object of Jinnan embroidery and that the colour scheme in Jinnan embroidery is simple, with red and yellow as the main colours. After an in-depth analysis of their theme and value, the embroidery patterns were shown to convey totem worship, reproduction worship and auspicious worship, reflecting the long-term aesthetic concepts and living customs in southern Shanxi.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.