older adult learning

Drawings and interviews mapped how older adults imagined AI-supported learning

Shu Zhao, Congxin Wu, Ziqi Wang, Meizhao Guo, Xian Zhao

Smart Learning Environments

How older adults with different backgrounds conceptualize and respond to AI-supported learning. Hand drawings reflected life-based understandings, AI images were more structured, background characteristics related to content and style, and most participants described the tools as practical and were willing to use them. Prompting, tool design, coding choices, novelty, and a situated sample limit claims about all older adults or long-term adoption; demographic contrasts must not be treated as fixed deficits.

Проверенное резюме статьи пока доступно на английском языке.