Generative AI Framework for Digital Motif Design in Vocational Education: Integrating Pedagogy and Ethics

Nadira Nurannisa 1 Indonesia , Hamidah Suryani 1 Indonesia , Anas Arfandi 1 Indonesia
1 Department of Vocational Technology Education, Universitas Negeri Makassar, Indonesia
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Published 2026-09-20
Vol. 6 No. 1 (2026) PAGES 361-371
DOI 10.51574/ijrer.v6i1.5412
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Conventional digital motif design instruction in higher vocational education often prioritizes complex software technicalities over conceptual design thinking. Generative AI (GenAI) can bypass manual drawing barriers, yet structured frameworks integrating prompt pedagogy and AI ethics remain lacking. This study conceptualizes and evaluates an ADDIE-based instructional e-module, enhanced by Borg & Gall protocols, that incorporates Midjourney prompt engineering, ethical AI frameworks, and interactive video tutorials within the Fashion Design program at Universitas Negeri Makassar. Expert validation confirmed exceptional content (92.56%) and media (91.27%) validity. Practicality testing demonstrated high user acceptance across individual (85.76%), small-group (89.77%), and large-group (84.17%) trials. A quasi-experimental evaluation (Experimental n=35 vs. Control n=22) revealed significant post-test learning gains in the experimental group (M=84.03, SD=6.42) compared to the control group (M=71.95, SD=5.88), confirmed by an Independent Samples t-test (t(55)=7.12, p<0.001) with a large effect size (Cohen's d=1.95). By shifting student cognitive load from manual illustration mechanics toward prompt syntax optimization and ethical human-AI co-creativity, this validated e-module bridges technical execution gaps, offering a scalable model for AI-driven vocational curricula.

Nurannisa, N., Suryani, H., & Arfandi, A. (2026). Generative AI Framework for Digital Motif Design in Vocational Education: Integrating Pedagogy and Ethics . ETDC: Indonesian Journal of Research and Educational Review , 6(1), 361–371. https://doi.org/10.51574/ijrer.v6i1.5412
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Copyright (c) 2026 Nadira Nurannisa, Hamidah Suryani, Anas Arfandi

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Keywords
AI Ethics Digital Motif Design Generative AI Higher Vocational Education Prompt Engineering