112名青少年在与AI共创艺术中,体验到新型创作模式与教育价值。
Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners
- 构建人机协同创作的多重视角框架,分析角色动态变化。
- 发现共创流程具对话性迭代特征,提升批判性判断等高阶能力。
- 适合关注AI时代艺术教育转型的研究者与实践者参考。
本研究基于对112名年轻学习者和艺术学生的调查,探讨了人类与生成式人工智能(AI)协同创作艺术过程中的审美体验与教育价值。参与者普遍将AI视为激发创意、拓展边界的合作伙伴,而非被动工具,同时担忧风格趋同与传统作者身份的消解。理论层面,整合杜威的经验美学、伊赫德的后现象学与行动者网络理论(ANT),构建分析人与非人类行动者(AI)互动关系的综合框架。研究发现:(i) 创作者在导演、对话伙伴、发现者等多重角色间流动;(ii) 创作流程呈现意图—生成—选择—精炼的循环对话机制,以批判性解读为核心;(iii) 教育价值从技术训练转向批判判断、跨模态构思与反思性思维等高阶能力。主张艺术教育应培养‘批判性协同创作’立场,引导学习者在保持人类独特性的基础上,参与智能技术合作。
原文摘要 · Abstract (English)
This study investigates the aesthetic experience and educational value of collaborative artmaking with generative artificial intelligence (AI) among young learners and art students. Based on a survey of 112 participants, we examine how human creators renegotiate their roles, how conventional notions of originality are challenged, how the creative process is transformed, and how aesthetic judgment is formed in human--AI co-creation. Empirically, participants generally view AI as a partner that stimulates ideation and expands creative boundaries rather than a passive tool, while simultaneously voicing concerns about stylistic homogenization and the erosion of traditional authorship. Theoretically, we synthesize Dewey's aesthetics of experience, Ihde's postphenomenology, and actor--network theory (ANT) into a single analytical framework to unpack the dynamics between human creators and AI as a non-human actant. Findings indicate (i) a fluid subjectivity in which creators shift across multiple stances (director, dialogic partner, discoverer); (ii) an iterative, dialogic workflow (intent--generate--select--refine) that centers critical interpretation; and (iii) an educational value shift from technical skill training toward higher-order competencies such as critical judgment, cross-modal ideation, and reflexivity. We argue that arts education should cultivate a \emph{critical co-creation} stance toward technology, guiding learners to collaborate with AI while preserving human distinctiveness in concept formation, judgment, and meaning-making.
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