Application of traditional Chinese auspicious patterns in computer graphic design teaching

Abstract

Background: Computer graphicdesigners utilize technology to adapt and blend text, images, color, font, and music to produce emotions and suggest messages to viewers. It makes concepts easier to visualize, supports creative design processes, improves user interfaces, and helps to investigate simulations.Objective: This study aims to develop an innovative computer graphic design teaching model using traditional Chinese auspicious patterns. Traditional Chinese auspicious patterns are imbued with cultural consequence and symbolism that offer students deeper consideration of visual aesthetics and cultural heritage in computer graphic design. Methods: In this study, a novel horse herd optimized poly-kernel support vector machine (HHO-PSVM) is proposed to forecast student performance in computer graphic design teaching. Student data is collected and analyzed by monitoring and assessing their commitment with computer graphic design teaching activities. The data was preprocessed by normalization. Then features are extracted from independent component analysis (ICA) from preprocessed data. Results: The findings of this study demonstrate that Chinese auspicious patterns in computer graphic design teaching improve students' understanding of cultural aesthetics and enhance creativity and engagement. A comparison of metrics' numerical results pre and post pattern was implemented. The improvement in recall from 68% to 90%, accuracy from 65% to 89%, precision from 63% to 87%, and F1-score from 64% to 88% was positive. Conclusion: This study contributes to the broader interaction of traditional art forms with digital activities by contributing education in digital design