Artificial intelligence as relational artifacts in creative learning

Jeongki Lim, Teemu Leinonen, Lasse Lipponen, Henry Lee, Julienne DeVita, Dakota Murray

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
38 Downloads (Pure)

Abstract

Artificial Intelligence (AI) has significantly advanced in creating professional-level media content. In creative education, determining how students can benefit without becoming dependent on them is a challenge. In this study, researchers conducted an exploratory experiment that positioned AI as a relational artifact to students in a series of drawing activities and examined the potential impact of affective relations with machines in socio-cultural creative learning. The resulting artifacts, observations, and interview transcripts were analyzed using the Consensual Assessment Technique and a grounded theory approach. The study's results indicate that the design professors reliably evaluated the student drawings as more creative than the AI drawings, but neither demonstrated a consistent increase in creativity. However, the presence of AI engaged the students to explore different approaches to artistic prompts. We theorize that AI can be mediated as a learning artifact for transformative creativity if the students perceive their relationship with AI as empathetic and collaborative.
Original languageEnglish
Pages (from-to)192-210
Number of pages19
JournalDigital Creativity
Volume34
Issue number3
Early online date28 Jul 2023
DOIs
Publication statusPublished - 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • Artificial intelligence
  • Computational creativity
  • Creative learning
  • Relational artifact
  • Sociocultural creativity

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