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年龄差异:针对AI教育游戏的分年龄段测试

Age Matters: Age-Differentiated Playtesting for AI Educational Games
Jared Ordoña Lim、Xueru Yu、Bryan Wallace · Proceedings of the ACM on Human-Computer Interaction · 2026-11-03

研究信息

期刊 / 来源
Proceedings of the ACM on Human-Computer Interaction
发表日期
2026-11-03
文献库
OpenAlex
作者
Jared Ordoña Lim, Xueru Yu, Bryan Wallace
DOI
10.1145/3831323
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英文原文摘要全文

Playtesting is widely employed in educational game design as a post-hoc method for game design validation within the age groups that the learning goals target. For domains such as AI literacy, age-targeted educational games testing may be limiting, as AI learning goals are relevant and frequently misunderstood by children, adolescents and young adults. Designing educational games that teach AI to a wider audience of ages requires playtesting with players of different ages to better interpret gameplay and narrative appropriateness of AI in AI educational games. In this study, we playtested four

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