A Study on Creative Question Design Model through Generative AI Collaboration : Focusing on Creativity Index, Divergence, and Depth Index-Based Evaluation Framework in Design Education

This study develops creative question design strategies utilizing ChatGPT in design education and establishes a quantitative evaluation system. By integrating the SPARK model (Surprise-Perspective-Association-Reflection-Kindle) with a five-step question design process, a systematic educational framework is proposed. A three-dimensional evaluation algorithm comprising Creativity Index (CI), Divergence (D), and Depth Index (DP) objectively measures question quality. The hybrid model combines traditional Socratic dialogue and Eastern “investigation of things” philosophy with AI to foster learner-driven creativity. Expert panel validation showed an ICC of 0.81 and a cross-validation accuracy of 78.4%, demonstrating its practical applicability in educational contexts.

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Publication Details

Journal
Korea Institute of Design Research Society
Published
2025-09-30
DOI
https://doi.org/10.46248/kidrs.2025.3.543
Primary Topic
Education and Learning Interventions
Type
article
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article

A Study on Creative Question Design Model through Generative AI Collaboration : Focusing on Creativity Index, Divergence, and Depth Index-Based Evaluation Framework in Design Education

Ki Nam Park, Yong Hyuk Choi
Korea Institute of Design Research Society
Education and Learning Interventions
article

A Study on Creative Question Design Model through Generative AI Collaboration : Focusing on Creativity Index, Divergence, and Depth Index-Based Evaluation Framework in Design Education

Ki Nam Park, Yong Hyuk Choi
article en

Abstract

This study develops creative question design strategies utilizing ChatGPT in design education and establishes a quantitative evaluation system. By integrating the SPARK model (Surprise-Perspective-Association-Reflection-Kindle) with a five-step question design process, a systematic educational framework is proposed. A three-dimensional evaluation algorithm comprising Creativity Index (CI), Divergence (D), and Depth Index (DP) objectively measures question quality. The hybrid model combines traditional Socratic dialogue and Eastern “investigation of things” philosophy with AI to foster learner-driven creativity. Expert panel validation showed an ICC of 0.81 and a cross-validation accuracy of 78.4%, demonstrating its practical applicability in educational contexts.

Korea Institute of Design Research SocietyVol. 10(3)
Openalex Percentile: Top 59%
Education and Learning Interventions
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A Study on Creative Question Design Model through Generative AI Collaboration : Focusing on Creativity Index, Divergence, and Depth Index-Based Evaluation Framework in Design Education — Ki Nam Park, Yong Hyuk Choi · Korea Institute of Design Research Society (2025) | TGRS Research Map | TGRS