A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING

AbstractThe Challenge: Digital fashion design frequently depends on intuitive and unstructured workflows, complicating the attainment of both efficiency and creative consistency. This study presents the Element Shift Method, a computational-thinking digital workflow, and assesses its effect on design performance. Eighteen designers, comprising six sophomores, six seniors, and six professionals, developed a five-look collection offline utilising standard industry software. Their screen recordings and retrospective interviews were analysed using a custom diagram that illustrated abstraction, decomposition, pattern recognition, and algorithmic thinking. Results: Professional designers completed their collections more rapidly (170 minutes compared to 210 minutes) than student groups and received superior expert evaluations (4.5 versus 3.7 on a 5-point scale), demonstrating that the Element Shift Method decreases design duration while improving thematic coherence and stylistic diversity. The technique presents a scalable instrument for fashion design education and practice, delivering a structured yet adaptable framework that systematically fosters creativity and enhances workflow efficiency.