为什么,是什么以及如何帮助每个公民了解人工智能?

IF 2.8 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Kunstliche Intelligenz Pub Date : 2021-01-01 Epub Date: 2021-05-07 DOI:10.1007/s13218-021-00725-7
Frédéric Alexandre, Jade Becker, Marie-Hélène Comte, Aurélie Lagarrigue, Romain Liblau, Margarida Romero, Thierry Viéville
{"title":"为什么,是什么以及如何帮助每个公民了解人工智能?","authors":"Frédéric Alexandre,&nbsp;Jade Becker,&nbsp;Marie-Hélène Comte,&nbsp;Aurélie Lagarrigue,&nbsp;Romain Liblau,&nbsp;Margarida Romero,&nbsp;Thierry Viéville","doi":"10.1007/s13218-021-00725-7","DOIUrl":null,"url":null,"abstract":"<p><p>A critical understanding of digital technologies is an empowering competence for citizens of all ages. In this paper we introduce an open educational approach of artificial intelligence (AI) for everyone. Through a hybrid and participative MOOC we aim to develop a critical and creative perspective about the way AI is integrated in the different domains of our lives. We have built and now operate a MOOC in AI for all the citizens from 15 years old. The MOOC aims to help understanding AI foundations and applications, intended for a large public beyond the school domain, with more than 20,000 participants engaged in the MOOC after nine months. This study addresses the pedagogical methods for designing and evaluating the MOOC in AI. Through this study we raise four questions regarding citizen education in AI: Why (i.e., to which aim) sharing such citizen formation? What is the disciplinary knowledge to be shared? What are the competencies to develop? How can it be shared <i>and</i> evaluated? We finally share learning analytics, quantitative and qualitative evaluations and explain to which extent educational science research helps enlighten such large scale initiatives. The analysis of the MOOC in AI helps to identify that the main feedback related to AI is \"fear\", because AI is unknown and mysterious to the participants. After developing playful AI simulations, the AI mechanisms become familiar for the MOOC participants and they can overcome their misconception on AI to develop a more critical point of view. This contribution describes a K-12 AI educational project or initiatives of a considerable impact, via the formation of teachers and other educators.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13218-021-00725-7.</p>","PeriodicalId":45413,"journal":{"name":"Kunstliche Intelligenz","volume":"35 2","pages":"191-199"},"PeriodicalIF":2.8000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13218-021-00725-7","citationCount":"2","resultStr":"{\"title\":\"Why, What and How to Help Each Citizen to Understand Artificial Intelligence?\",\"authors\":\"Frédéric Alexandre,&nbsp;Jade Becker,&nbsp;Marie-Hélène Comte,&nbsp;Aurélie Lagarrigue,&nbsp;Romain Liblau,&nbsp;Margarida Romero,&nbsp;Thierry Viéville\",\"doi\":\"10.1007/s13218-021-00725-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A critical understanding of digital technologies is an empowering competence for citizens of all ages. In this paper we introduce an open educational approach of artificial intelligence (AI) for everyone. Through a hybrid and participative MOOC we aim to develop a critical and creative perspective about the way AI is integrated in the different domains of our lives. We have built and now operate a MOOC in AI for all the citizens from 15 years old. The MOOC aims to help understanding AI foundations and applications, intended for a large public beyond the school domain, with more than 20,000 participants engaged in the MOOC after nine months. This study addresses the pedagogical methods for designing and evaluating the MOOC in AI. Through this study we raise four questions regarding citizen education in AI: Why (i.e., to which aim) sharing such citizen formation? What is the disciplinary knowledge to be shared? What are the competencies to develop? How can it be shared <i>and</i> evaluated? We finally share learning analytics, quantitative and qualitative evaluations and explain to which extent educational science research helps enlighten such large scale initiatives. The analysis of the MOOC in AI helps to identify that the main feedback related to AI is \\\"fear\\\", because AI is unknown and mysterious to the participants. After developing playful AI simulations, the AI mechanisms become familiar for the MOOC participants and they can overcome their misconception on AI to develop a more critical point of view. This contribution describes a K-12 AI educational project or initiatives of a considerable impact, via the formation of teachers and other educators.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13218-021-00725-7.</p>\",\"PeriodicalId\":45413,\"journal\":{\"name\":\"Kunstliche Intelligenz\",\"volume\":\"35 2\",\"pages\":\"191-199\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s13218-021-00725-7\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Kunstliche Intelligenz\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13218-021-00725-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/5/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kunstliche Intelligenz","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13218-021-00725-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/5/7 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 2

摘要

对数字技术的批判性理解是所有年龄段公民的赋权能力。本文介绍了一种面向所有人的人工智能(AI)开放教育方法。通过混合式和参与式MOOC,我们的目标是培养一种批判性和创造性的视角,了解人工智能如何融入我们生活的不同领域。我们已经建立并运营了一个面向所有15岁以上公民的人工智能MOOC。该MOOC旨在帮助理解人工智能的基础和应用,面向学校以外的广大公众,9个月后,有超过2万名参与者参与了该MOOC。本研究探讨了人工智能中MOOC的设计和评估的教学方法。通过这项研究,我们提出了关于人工智能中的公民教育的四个问题:为什么(即,为了什么目的)共享这样的公民形成?要分享的学科知识是什么?需要培养的能力是什么?它如何被分享和评估?我们最后分享了学习分析、定量和定性评估,并解释了教育科学研究在多大程度上有助于启发这种大规模的倡议。通过对AI中的MOOC的分析,我们可以发现与AI相关的主要反馈是“恐惧”,因为AI对参与者来说是未知和神秘的。在开发有趣的人工智能模拟后,MOOC参与者熟悉了人工智能机制,他们可以克服对人工智能的误解,形成更批判性的观点。这篇文章描述了一个K-12人工智能教育项目或倡议,通过教师和其他教育工作者的形成产生了相当大的影响。补充信息:在线版本包含补充资料,可在10.1007/s13218-021-00725-7获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Why, What and How to Help Each Citizen to Understand Artificial Intelligence?

A critical understanding of digital technologies is an empowering competence for citizens of all ages. In this paper we introduce an open educational approach of artificial intelligence (AI) for everyone. Through a hybrid and participative MOOC we aim to develop a critical and creative perspective about the way AI is integrated in the different domains of our lives. We have built and now operate a MOOC in AI for all the citizens from 15 years old. The MOOC aims to help understanding AI foundations and applications, intended for a large public beyond the school domain, with more than 20,000 participants engaged in the MOOC after nine months. This study addresses the pedagogical methods for designing and evaluating the MOOC in AI. Through this study we raise four questions regarding citizen education in AI: Why (i.e., to which aim) sharing such citizen formation? What is the disciplinary knowledge to be shared? What are the competencies to develop? How can it be shared and evaluated? We finally share learning analytics, quantitative and qualitative evaluations and explain to which extent educational science research helps enlighten such large scale initiatives. The analysis of the MOOC in AI helps to identify that the main feedback related to AI is "fear", because AI is unknown and mysterious to the participants. After developing playful AI simulations, the AI mechanisms become familiar for the MOOC participants and they can overcome their misconception on AI to develop a more critical point of view. This contribution describes a K-12 AI educational project or initiatives of a considerable impact, via the formation of teachers and other educators.

Supplementary information: The online version contains supplementary material available at 10.1007/s13218-021-00725-7.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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).
期刊最新文献
In Search of Basement Indicators from Street View Imagery Data: An Investigation of Data Sources and Analysis Strategies. Some Thoughts on AI Stimulated by Michael Wooldridge's Book "The Road to Conscious Machines. The Story of AI". A Framework for Learning Event Sequences and Explaining Detected Anomalies in a Smart Home Environment. Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs. News.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1