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All Journal Tanra : Jurnal Desain Komunikasi Visual Fakultas Seni dan Desain Universitas Negeri Makassar ANDHARUPA Jurnal Abadimas Adi Buana Demandia : Jurnal Desain Komunikasi Visual, Manajemen Desain, dan Periklanan Besaung : Jurnal Seni Desain dan Budaya Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Dimensi DKV Seni Rupa dan Desain International Journal of Graphic Design
Anggi Anggarini
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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AI-Assisted Mood Board Development: Enhancing Creative Ideation in Graphic Design Education Anggarini, Anggi; Pramesti, Rachmadita Dwi
International Journal of Graphic Design Vol. 4 No. 1 (2026): April | IJGD: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v4i1.3214

Abstract

This study examines how integrating Artificial Intelligence (AI) into mood board development enhances the ideation process in graphic design education. The research aimed to understand how AI-supported visual exploration influences students’ originality, complexity, and goal alignment during creative concept development. A mixed-method approach was employed, combining quantitative rubric-based evaluation of student mood boards with qualitative thematic analysis of interviews and classroom observations to capture both performance outcomes and design thinking processes. The findings show that AI tools expanded visual exploration and improved conceptual clarity, yet their effectiveness depended on how critically students engaged with prompt iteration and keyword synthesis. Students who refined descriptive keywords and combined AI outputs with digital imaging achieved higher originality and coherence. Complexity increased when students generated multiple AI iterations from different visual angles, whereas goal alignment benefited from structured mind mapping informed by tone and manner. Qualitative results revealed six interrelated themes: idea exploration, AI assistance, visual curation, AI limitations, ethics and reflection, and implementation recommendations, highlighting the interplay between human judgment and computational generation. Overall, the study affirms that mood board development remains essential in guiding conceptual direction and visual storytelling in design education. AI serves as a creative collaborator that supports deeper ideation and expands the boundaries of visual experimentation in contemporary design learning.
Co-Authors Andriyanto Andriyanto Andriyanto Andriyanto Andriyanto Bangun, Dwi Agnes Natalia Chairunnisa, Adelia Dwi Agnes Natalia Bangun Fajrina, Nabila Irpan Saripudin, Irpan Maheni DK, MRR Tiyas Maheni, MRR Tiyas Maheni, MRR. Tiyas MRR Tiyas Maheni DK, MRR Tiyas Maheni Natalia B., Dwi Agnes Nathaniel Tegar Prakasa Pramesti, Rachmadita Dwi Pranoto, Rahmat Eko Putri, Zahra Nabilah Rachmadita Dwi Pramesti Rachmadita Dwi Pramesti Ramadanti, Mutiara Dewi Ramadita, Fadilla Sari Puspita Dewi, Sari Puspita Susilawati Susilawati Susilawati Susilawati Tabrany Syafa, Ghyfahri Dylan Ma'aliki Thabrani, Susilawati Yoga Putra Pratama