生成语法
类型学
计算机科学
计算器
隐喻
生成模型
人工智能
航程(航空)
认知科学
心理学
社会学
语言学
工程类
哲学
人类学
航空航天工程
操作系统
作者
Jason M. Lodge,Suijing Yang,Leon Furze,Phillip Dawson
出处
期刊:Learning
[Taylor & Francis]
日期:2023-07-03
卷期号:9 (2): 117-124
被引量:28
标识
DOI:10.1080/23735082.2023.2261106
摘要
ABSTRACTIt is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of possible student-to-generative AI relationships to afford a more nuanced discussion about what these new technologies can and should be used for in learning. Our contribution in this article is to offer a typology for considering the range of possible interactions across two dimensions of relationships. In doing so, we argue that there is not a single metaphor for the relationship between humans and AI in learning, but many.KEYWORDS: Generative AIlearnershuman-computer interaction Disclosure statementNo potential conflict of interest was reported by the author(s).
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