Generative Curation: Applying AIGC Technologies to Create Dynamic Foshan Lion Dance Learning Exhibitions for Art Students

บทคัดย่อ

This study examines the use of Artificial Intelligence Generated Content (AIGC) in curating a dynamic learning exhibition of the Foshan Lion Dance as intangible cultural heritage for art students. Grounded in embodied cognition and constructivist learning theory, the study conceptualizes AIGC as a human-in-the-loop generative curation tool that supports participatory learning and cultural co-creation.

The research aims to: (1) explore how AIGC can be applied in immersive exhibition design for performance-based heritage; (2) evaluate its educational impact on student engagement, creativity, and cultural understanding; and (3) identify challenges related to cultural authenticity and ethical implementation. A qualitative case-study approach was adopted, based on student participation and thematic analysis of learning experiences.

The results indicate that AIGC-enhanced exhibitions improve cultural visualization, interactive engagement, and creative learning, while also increasing accessibility through adaptive and multimodal features. At the same time, limitations concerning authenticity control and long-term sustainability are identified. The study demonstrates that, when guided by appropriate learning theory and ethical frameworks, AIGC can function as both an educational medium and a cultural preservation strategy. It contributes to digital heritage and art education by proposing generative curation as a concise and applicable framework linking traditional performance heritage with contemporary learning environments.