学生的技能需要与时俱进,以适应新的人工智能社会。

IF 6.7 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Patterns Pub Date : 2024-10-11 DOI:10.1016/j.patter.2024.101062
Brent A Anders
{"title":"学生的技能需要与时俱进,以适应新的人工智能社会。","authors":"Brent A Anders","doi":"10.1016/j.patter.2024.101062","DOIUrl":null,"url":null,"abstract":"<p><p>There are new realities in society and the workplace that necessitate the evolution of student skills. AI now creates highly usable text, requiring students to shift their focus to different skills such as editing, AI literacy, and critical thinking so that they may effectively work with AI and succeed in the modern world.</p>","PeriodicalId":36242,"journal":{"name":"Patterns","volume":"5 10","pages":"101062"},"PeriodicalIF":6.7000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573891/pdf/","citationCount":"0","resultStr":"{\"title\":\"Student skills need to evolve to match our new AI society.\",\"authors\":\"Brent A Anders\",\"doi\":\"10.1016/j.patter.2024.101062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>There are new realities in society and the workplace that necessitate the evolution of student skills. AI now creates highly usable text, requiring students to shift their focus to different skills such as editing, AI literacy, and critical thinking so that they may effectively work with AI and succeed in the modern world.</p>\",\"PeriodicalId\":36242,\"journal\":{\"name\":\"Patterns\",\"volume\":\"5 10\",\"pages\":\"101062\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573891/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patterns\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.patter.2024.101062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patterns","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.patter.2024.101062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

社会和职场的新现实要求学生的技能不断发展。现在,人工智能创造了高度可用的文本,这就要求学生将注意力转移到不同的技能上,如编辑、人工智能素养和批判性思维,这样他们才能有效地使用人工智能,并在现代社会中取得成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Student skills need to evolve to match our new AI society.

There are new realities in society and the workplace that necessitate the evolution of student skills. AI now creates highly usable text, requiring students to shift their focus to different skills such as editing, AI literacy, and critical thinking so that they may effectively work with AI and succeed in the modern world.

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
Patterns
Patterns Decision Sciences-Decision Sciences (all)
CiteScore
10.60
自引率
4.60%
发文量
153
审稿时长
19 weeks
期刊介绍:
期刊最新文献
Data-knowledge co-driven innovations in engineering and management. Integration of large language models and federated learning. Decorrelative network architecture for robust electrocardiogram classification. Best holdout assessment is sufficient for cancer transcriptomic model selection. The recent Physics and Chemistry Nobel Prizes, AI, and the convergence of knowledge fields.
×
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