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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15587203
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
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article

A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING

Zenodo (CERN European Organization for Nuclear Research)
Retinal Diseases and Treatments
article

A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Universiti Teknologi MARA System (MY), Universiti Teknologi MARA (MY)
Openalex Percentile: Top 40%
Retinal Diseases and Treatments
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A STUDY ON DIGITAL SERIES FASHION DESIGN METHODS APPLYING COMPUTATIONAL THINKING · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS