The machines are learning: How artificial intelligence is already affecting journalism education

IF 0.9 Q3 COMMUNICATION Australian Journalism Review Pub Date : 2022-11-01 DOI:10.1386/ajr_00101_7
J. Sparrow
{"title":"The machines are learning: How artificial intelligence is already affecting journalism education","authors":"J. Sparrow","doi":"10.1386/ajr_00101_7","DOIUrl":null,"url":null,"abstract":"Recent developments in artificial intelligence (AI) pose considerable challenges to journalism educators. Sophisticated natural language processing systems have shown that the completion of academic assessment tasks does not necessarily require human-like artificial general intelligence. Already, AI can be deployed to assist with or independently complete assessment tasks for students or to provide an unacknowledged context for students completing assessment tasks. Educators teaching in journalism studies must rethink assessment, particularly as the journalism industry increasingly embraces AI technology.","PeriodicalId":36614,"journal":{"name":"Australian Journalism Review","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Journalism Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1386/ajr_00101_7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 3

Abstract

Recent developments in artificial intelligence (AI) pose considerable challenges to journalism educators. Sophisticated natural language processing systems have shown that the completion of academic assessment tasks does not necessarily require human-like artificial general intelligence. Already, AI can be deployed to assist with or independently complete assessment tasks for students or to provide an unacknowledged context for students completing assessment tasks. Educators teaching in journalism studies must rethink assessment, particularly as the journalism industry increasingly embraces AI technology.
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
机器正在学习:人工智能已经如何影响新闻教育
人工智能(AI)的最新发展给新闻教育工作者带来了相当大的挑战。复杂的自然语言处理系统已经表明,完成学术评估任务并不一定需要类似人类的人工通用智能。人工智能已经可以用来协助或独立完成学生的评估任务,或者为完成评估任务的学生提供一个未知的环境。新闻学教育工作者必须重新思考评估,尤其是在新闻业越来越多地采用人工智能技术的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Australian Journalism Review
Australian Journalism Review Social Sciences-Communication
CiteScore
1.20
自引率
0.00%
发文量
17
期刊最新文献
Younger audience perceptions of journalists on social media Journalism Practice and Critical Reflexivity, Bonita Mason (2023) Happiness in Journalism, Valérie Bélair-Gagnon, Avery E. Holton, Mark Deuze and Claudia Mellado (eds) (2023) An examination of factors influencing journalism educators’ perceptions on the role and future of news reporting ‘You can’t be what you can’t see’: A pilot study of reflections on diversity and inclusion in the news media
×
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