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Aesthetic Experience and Educational Value in Co-creating Art with Generative AI: Evidence from a Survey of Young Learners

Date
Publisher
arXiv
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.
Study at a glance
  • Question: How do young learners experience artmaking with generative AI and perceive its impact on originality and learning?
  • Setting and data: Online survey of 112 young learners, primarily undergraduate and graduate students spanning arts and non-arts majors.
  • Method: Descriptive analysis of an online survey
Why it matters

Text-to-image systems partially decouple ideation from manual execution, raising foundational questions for arts education about the role of the creator, how authorship and originality should be reconceived, and how aesthetic decisions form during human–AI interaction.

Key findings
  • Most surveyed learners endorsed acting as the director while AI executes instructions (68.75%), but 62.50% reported that AI outputs often exceed expectations and feed back into their creativity.
  • Over half of participants (53.57%) believed originality requires redefinition when co-creating with AI, such as viewing prompt design as authorship.
  • The most recognized educational benefit was cultivating critical filtering and judgment (71.43%), followed by reflecting on traditional artistic languages (60.71%) and fostering cross-modal creative thinking (50.00%).

Summary drafted with AI from the full paper and may contain errors. See the full paper for details.

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