芬兰五六年级学生对人工智能的误解

Q1 Social Sciences
Pekka Mertala , Janne Fagerlund
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引用次数: 0

摘要

从建构主义的角度来看,有关儿童对人工智能的初步概念的研究正处于新兴阶段,这对开发教学上合理的人工智能扫盲课程、方法和材料提出了挑战。为了解决这一问题,本文对来自 195 名儿童的定性调查数据进行了归纳分析,以回答以下三个研究问题:1)芬兰五、六年级学生对人工智能的本质有哪些误解;2)这些误解与常见的误解类型有什么关系;3)这些误解有多深刻?因此,我们确定了三个误解类别:1) 非技术性人工智能,即把人工智能概念化为人们的认知过程(事实性误解);2) 拟人化人工智能,即把人工智能概念化为类似人类的实体(白话、非科学和概念性误解);以及 3) 把人工智能概念化为预装了智能或知识的机器(事实性误解)。大多数儿童对自己的人工智能知识评价较低,这意味着误解更多的是表面的,而不是深刻的。研究结果表明,特定语境的语言特点可能会导致学生的人工智能误解。本文讨论了未来研究和人工智能扫盲教育的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finnish 5th and 6th graders’ misconceptions about artificial intelligence

Research on children’s initial conceptions of AI is in an emerging state, which, from a constructivist viewpoint, challenges the development of pedagogically sound AI-literacy curricula, methods, and materials. To contribute to resolving this need in the present paper, qualitative survey data from 195 children were analyzed abductively to answer the following three research questions: What kind of misconceptions do Finnish 5th and 6th graders’ have about the essence AI?; 2) How do these misconceptions relate to common misconception types?; and 3) How profound are these misconceptions? As a result, three misconception categories were identified: 1) Non-technological AI, in which AI was conceptualized as peoples’ cognitive processes (factual misconception); 2) Anthropomorphic AI, in which AI was conceptualized as a human-like entity (vernacular, non-scientific, and conceptual misconception); and 3) AI as a machine with a pre-installed intelligence or knowledge (factual misconception). Majority of the children evaluated their AI-knowledge low, which implies that the misconceptions are more superficial than profound. The findings suggest that context-specific linguistic features can contribute to students' AI misconceptions. Implications for future research and AI literacy education are discussed.

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来源期刊
CiteScore
7.20
自引率
0.00%
发文量
73
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