Abstract

This study explores the potential of zoo exhibits to foster both AI literacy and animal understanding through integrated, co-designed learning experiences. Building upon the AI literacy framework proposed by Long et al. (2021), this research adapts their competencies to the zoo context, focusing on AI applications in areas like animal conservation and behavior analysis. I will investigate how zoo exhibits that integrate AI literacy and animal information influence visitors’ understanding of AI concepts and animal behavior/characteristics. A participatory design approach is employed, involving workshops with zoo staff and potential visitors to collaboratively design and refine the AI-integrated exhibits. Iterative think-aloud testing with exhibit prototypes and pilot studies will be conducted to evaluate the effectiveness of the designs. This work contributes to the growing body of knowledge on informal AI learning by exploring its application in a novel, engaging environment and examining the synergistic potential of combining AI education with learning about the natural world. The findings will provide insights into best practices for designing interactive exhibits that promote both technological literacy and scientific curiosity.