比较两年来授权家庭用人工智能解决现实世界的问题。

IF 2.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Kunstliche Intelligenz Pub Date : 2021-01-01 Epub Date: 2021-07-22 DOI:10.1007/s13218-021-00738-2
Tara Chklovski, Richard Jung, Rebecca Anderson, Kathryn Young
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引用次数: 2

摘要

在两年的时间里,一家全球技术教育非营利组织让来自13个国家的约2万名资源不足的3 -8年级学生、家长和教育工作者参加了为期数周的人工智能竞赛。家庭在教育工作者的帮助下共同努力,确定社区中有意义的问题,并开发人工智能原型来解决这些问题。主要发现包括:(1)确定服务不足社区对开发和应用人工智能扫盲技能的高度兴趣;(2)确定课程和项目实施要素,使家庭能够将人工智能知识和技能应用于实际问题;(3)确定聘请行业导师支持参与者的有效方法;(4)测量和识别自我效能感的变化,以及将基于人工智能的工具应用于现实问题的能力;(5)围绕价值敏感设计和伦理创新确定有效的课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Comparing 2 Years of Empowering Families to Solve Real-World Problems with AI.

Over the course of 2 years a global technology education nonprofit engaged ~ 20,000 under-resourced 3rd-8th grade students, parents and educators from 13 countries in a multi-week AI competition. Families worked together with the help of educators to identify meaningful problems in their communities and developed AI-prototypes to address them. Key findings included: (1) Identifying a high level of interest in underserved communities to develop and apply AI-literacy skills; (2) Determining curricular and program implementation elements that enable families to apply AI knowledge and skills to real problems; (3) Identifying effective methods of engaging industry mentors to support participants; (4) Measuring and identifying changes in self-efficacy and ability to apply AI-based tools to real-world problems; (5) Determining effective curricula around value-sensitive design and ethical innovation.

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来源期刊
Kunstliche Intelligenz
Kunstliche Intelligenz COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
8.60
自引率
3.40%
发文量
32
期刊介绍: Artificial Intelligence has successfully established itself as a scientific discipline in research and education and has become an integral part of Computer Science with an interdisciplinary character. AI deals with both the development of information processing systems that deliver “intelligent” services and with the modeling of human cognitive skills with the help of information processing systems. Research, development and applications in the field of AI pursue the general goal of creating processes for taking in and processing information that more closely resemble human problem-solving behavior, and to subsequently use those processes to derive methods that enhance and qualitatively improve conventional information processing systems. KI – Künstliche Intelligenz is the official journal of the division for artificial intelligence within the ''Gesellschaft für Informatik e.V.'' (GI) – the German Informatics Society – with contributions from the entire field of artificial intelligence. The journal presents fundamentals and tools, their use and adaptation for scientific purposes, and applications that are implemented using AI methods – and thus provides readers with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. A highly reputed team of editors from both university and industry will ensure the scientific quality of the articles.The journal provides all members of the AI community with quick access to current topics in the field, while also promoting vital interdisciplinary interchange, it will as well serve as a media of communication between the members of the division and the parent society. The journal is published in English. Content published in this journal is peer reviewed (Double Blind).
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