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All Journal Journal of Environment and Sustainability Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Edukasiana: Jurnal Inovasi Pendidikan
Oppong, Diana
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Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Mathematics Social Sciences Other

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A Comparative Study of Fashion Illustration Project Assessment among Teachers and Students Amos, Emmanuel; Fobiri, George Kwame; Crentsil, Timothy; Oppong, Diana; Timpabi, Ama Kour
Edukasiana: Jurnal Inovasi Pendidikan Vol. 3 No. 4 (2024)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ejip.v3i4.799

Abstract

This paper explores the assessment of student projects in fashion design by comparing the evaluations of teachers and students (peers). Peer assessment (PA) is increasingly recognized as a valuable tool for enhancing students' assessment skills and providing alternative perspectives on project quality. However, concerns persist regarding the reliability and validity of peer assessments compared to those of teachers. To address this gap, this study aims to  compare the assessments of teachers and students, focusing on variables such as Self, FIT, COLOUR, DRAWN, and BEAUTY in fashion design projects. The study used simple random sampling to sample 10 designs of Higher National Diploma (HND) two students enrolled in the fashion department of the Creative Arts Faculty. Teh descriptitve and correlation analysis methods were used to analyse the sample gathered.  The Descriptives analysis revealed differences in the mean scores and variability between the Student and Teaching Staff groups for the variables Self, COLOUR, FIT, DRAWP, and BEAUTY. Again, a correlation analysis revealed strong positive correlations between various self-perception categories. This results practically implies that peer assessment is a requisite assessment mehtod in higher education, especially for practical courses such as fashion design. Collaborative assessment, especially among peers is therefore recommended to help students build confidence and ensure a sense of ownership of their projects coupled with sharpening their practical skills.
Sustainable practices of fabric waste among small-scale garment enterprises in the Kumasi metropolis Ibrahim, Mohammed; Howard, Ebenezer Kofi; Amos, Emmanuel; Fobiri, George Kwame; Schall, Maud; Oppong, Diana
Sustinere: Journal of Environment and Sustainability Vol. 9 No. 1 (2025): pp. 1-127
Publisher : Center for Science and Technology, IAIN Surakarta

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Abstract

In recent years, fabric waste has become an important sustainability issue that raises concerns and attracts attention from stakeholders in the fashion industries and the media. Over the past 15 years, the production and consumption of clothing have increased substantially, driven by the rise of demand for fashionable style and the proliferation of fast fashion. This study explores the fabric waste generated by the garment operators within the Kumasi metropolis. A qualitative research design, guided by a phenomenological approach was employed. Data were collected from six zones using purposive sampling technique to select respondents. Interviews and observations served as the primary data collection methods, and data were analysed thematically using NVIVO software. The findings reveal that the use of single-ply and bulk-ply cutting techniques in garments construction led to the generation of tons of fabric waste, particularly among small-scale garment producers. It is recommended that garment operators adopt effective strategies for reusing and responsibly disposing of fabric waste. Furthermore, the use of biodegradable fabrics is encouraged, as they have a lower environmental impact.  
EXPLORING THE APPLICATION OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES IN THE FASHION INDUSTRY: A CASE OF GARMENT CONSTRUCTION IN KUMASI, GHANA. Opoku, Moses; Dickson, Adom; Baiden, Sarah; Oppong, Diana; Isemikon Cyril-Egware, Pamela
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 8 (2024): July
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i8.2287

Abstract

This study explores the use of artificial intelligence (AI) technologies in the fashion industry, specifically focusing on garment construction in Ghana. Again, it examines how AI impacts key stages of garment production, including style development, body measurements, pattern making, lay planning, cutting, assembling, and packaging. It employed both quantitative data from surveys and qualitative insights from interviews with fashion designers, manufacturers, and industry experts. The findings indicate that AI technologies are most widely adopted in style development and pattern making, where they significantly enhance design efficiency and precision. However, adoption rates are lower in cutting, assembling, and packaging due to high initial costs and technical complexity. The study also identifies significant barriers to AI adoption, such as financial constraints, lack of technical expertise, and cultural resistance to change. The implications of these findings suggest that AI technologies have the potential to transform garment construction processes, improve efficiency, reduce waste, and increase competitiveness in the fashion industry. This study contributes to the existing literature by providing empirical data on AI adoption in the Ghanaian fashion industry, and clearly indicates the need for future study to explore regional differences, long-term impacts, and strategies to integrate AI technologies while preserving traditional craftsmanship in garment making.
Co-Authors Amos, Emmanuel Baiden, Sarah Crentsil, Timothy Dickson, Adom Fobiri, George Kwame Howard, Ebenezer Kofi Ibrahim, Mohammed Isemikon Cyril-Egware, Pamela Opoku, Moses Schall, Maud Timpabi, Ama Kour