Replication Data for: Older Adults’ Conceptions of AI-Supported Learning: an Epistemic Network Analysis Based on AI-Generated Drawings

As Artificial Intelligence (AI) has been widely used in education, understanding older adults’ perceptions and acceptance of AI-supported learning is crucial for enhancing technology access and promoting lifelong learning. This study involved 75 older adults with diverse backgrounds in gender, education, and technical experience, collecting both hand-drawn and AI-assisted illustrations. These illustrations were coded into six categories with 20 elements, and a drawing-based Epistemic Network Analysis (ENA) was employed to analyze the coded results, while interviews provided supplementary insights into their perceptions. The findings revealed that (1) hand-drawn works reflected older adults’ life-based understanding, while AI-assisted drawings contained more structured elements; (2) gender, education, and technical experience influenced the content and style of the drawings: men focused on self-improvement, women on emotions like parent-child relationships, those with higher education created more organized scenes, while those with lower education emphasized emotional expression, and more tech-savvy individuals were exploratory, while others required assistance; and (3) most older adults found AI tools practical and expressed willingness to use them. These results highlight key factors influencing technology adoption among older adults and underscore the need for educators to consider contextual variations in AI-supported learning.