AI-assisted design communication in ceramic-crafts education: Investigating image generation tools for concept representation and pedagogical practice

Abstract

This study examines the implementation and effectiveness of AI-assisted visualization tools in ceramic-crafts education, with a specific focus on improving design communication and feedback exchange between instructors and students. Through empirical investigation, we developed and evaluated an AI-assisted visualization tool that leverages state-of-the-art image-generation models to enhance concept articulation in ceramic design practice. Our investigation, involving 12 first-year ceramic-crafts students and nine instructors, revealed significant improvements in three key areas: design communication clarity, feedback quality, and technical vocabulary acquisition. The findings demonstrate how AI tools can effectively augment specific aspects of ceramic-crafts education, particularly in bridging the gap between conceptual design and physical implementation. We analyze the tool's impact on student learning processes, instructor feedback mechanisms, and the preservation of traditional craft practices. The study contributes to the understanding of technology integration in craft-based education by providing empirical evidence of how AI tools can enhance specific pedagogical challenges while maintaining the essential tactile and experiential aspects of ceramic crafts. Additionally, we address critical considerations for implementing AI tools within traditional craft education, including the maintenance of hands-on learning experiences and artistic authenticity. Our research provides practical insights for ceramic-crafts educators seeking to integrate technological support while preserving fundamental craft-based teaching methodologies. © 2025 Elsevier B.V., All rights reserved.