Empowering Children's Maker‐Based STEM Learning through Generative AI in Public Libraries
Yong Ju Jung, Jiqun Liu, Mahdieh Nazari, Harun Karahan · Proceedings of the Association for Information Science and Technology · 2025
ABSTRACT This paper presents a pilot study on integrating the use of Generative AI (GenAI) into maker‐based STEM learning through playful activities for children (aged 6‐12) and their families in libraries. Our preliminary analysis of log data from an LLM‐enabled chat system and video recordings shows how children and their caregivers used GenAI for various purposes, such as seeking assistance when encountering challenges, through which they could also learn about how to formulate prompts for GenAI. We also found some limitations of the LLM‐enabled chat system in providing situated feedback during maker‐based learning. Our study speaks to the conference theme, the Role of IS in the age of Human‐Centered AI , by shedding light on the potential of hands‐on activities based on designing and making for children's AI literacy as well as problem‐solving, creative thinking, and prompt engineering skills.