MuseForge: Enhancing Creative Learning in Digital Museum Education with Generative AI

要旨

Creative learning has enriched on-site museum education by fostering engagement, exploration, and active participation. However, the structured integration of creative learning processes into digital museum education remains relatively underexplored. Although Generative Artificial Intelligence (GenAI) presents considerable potential to support creative learning, its comprehensive application across all stages in non-formal learning environments, such as museums, remains limited. To investigate this potential, we conducted a formative study employing a previously developed prototype with seven learners and four senior experts to identify learners’ specific needs and challenges. Informed by the findings, we designed and developed MuseForge, a platform integrating GenAI with the five stages of the iterative creative development path to support a personalized and dynamic creative learning experience. A between-subjects study with 32 participants demonstrated that learners using MuseForge achieved significantly higher learning motivation, engagement, and learning gain in creative self-efficacy, highlighting its effectiveness in supporting creative learning in digital museum environments.

著者
Weiyue Lin
The University of Hong Kong, Hong Kong S.A.R., China
Xiao Hu
University of Arizona, Tucson, Arizona, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: AI, Motivation and Learning

P1 - Room 123
7 件の発表
2026-04-16 20:15:00
2026-04-16 21:45:00