Sep 2026· Society for Art Education of Korea· Vol 99, pp. 393-426· 0 citations
Abstract
This study proposes ‘conflictual creativity’ a new concept in generative AI art education that emerges in micro-moments when students critically evaluate AI-generated images and consciously reject them with “this is not what I want”—moments characterized by subjective judgment, active resistance, and creative transformation. Conflictual creativity manifests in the process where students reject, modify, and recreate AI-generated outputs when they do not align with their intentions. It represents subjective practice that realizes individual intention through active intervention and resistance toward automation. This represents a fundamental shift in the subject of creativity: from the creator-centric paradigm to an intervener-centric one, where autonomous judgment emerges through interaction with automated outputs. To verify this concept, a pilot project with elementary students at a Seoul art education center analyzed four stages—judgment, resistance, transformation, and responsibility. The results revealed high levels of technical and aesthetic responsibility (86.7–93.3%), while ethical responsibility remained notably low (20–27%). This gap demonstrates that students need to develop a deeper understanding of the responsibility that accompanies their choices in AI art education. This means that in AI-based art education, systematic teacher intervention helps students move beyond simple technical fixes to build ethical and independent judgments. This support helps maintain ‘conflictual creativity’ in art education during the age of AI.
This study investigates the relationship between artificial intelligence, artistic education, and the production chains of Made in Italy, with particular reference to the AFAM system (Higher Education in Art, Music, and Dance). Adopting a mixed-methods design, the research integrates three phases: a systematic review o...
Vincenzo Esposito, F. Addeo, M. Saviano et al.· Societies· 0 citations
Art creation becomes almost effortless with Generative AI. However, a bigger challenge arises at the heart of creativity: assessing the quality of what is produced and remaking it accordingly. This essay argues that the truly scarce and teachable skill in art education is not merely “production” but “critical-creative...
Ying-Chong Wang, Xuan Zhang· Journal of Cultural Manageme...· 0 citations
This study explored how an art educator’s perception of creativity changed through experiences with generative Artificial Intelligence (AI) using an autoethnographic approach. As generative AI raises new questions about creativity in art education, the researcher’s perceptual shifts through repeated interactions with A...
Youngeun Kim· Society for Art Education of...· 0 citations
Formal education is widely understood as a system for cultivating knowledge and human potential. Yet its structural logic often privileges conformity, standardization, and the efficient reproduction of established knowledge—paradoxically suppressing the very cognitive dispositions that underpin creativity, originalit...
K. Liao· The Journal of creative beha...· 1 citation
The paper proposes a human-centred model of AI integration in higher education grounded in dignity, agency, discernment, relationality, and holistic formation, which indicates that AI can augment learning and creativity but may also encourage cognitive dependence and blur conventional understandings of authorship.
Abigail Kerubo Osoro· Journal of Philosophy and Re...· 0 citations
This study explores the aspects and structural dynamics of intercultural cognitive expansion experienced by international and Korean undergraduate students in a generative AI-based creative writing process. Using purposeful and maximum variation sampling, 22 participants were selected from a “Creative Thinking and Writ...
Young Jae Jo· The Korean Association of Ge...· 0 citations
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