Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model

Farhana Faruqe, Ryan Watkins, L. Medsker
{"title":"Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model","authors":"Farhana Faruqe, Ryan Watkins, L. Medsker","doi":"10.54364/aaiml.2022.1140","DOIUrl":null,"url":null,"abstract":"The recent developments in Artificial Intelligence (AI) technologies challenge educators and educational institutions to respond with curriculum and resources that prepare students of all ages with the foundational knowledge and skills for success in the AI workplace. Research on AI Literacy could lead to an effective and practical platform for developing these skills. We propose and advocate for a pathway for developing AI Literacy as a pragmatic and useful tool for AI education. Such a discipline requires moving beyond a conceptual framework to a multilevel competency model with associated competency assessments. This approach to an AI Literacy could guide future development of instructional content as we prepare a range of groups (i.e., consumers, coworkers, collaborators, and creators). We propose here a research matrix as an initial step in the development of a roadmap for AI Literacy research, which requires a systematic and coordinated effort with the support of publication outlets and research funding, to expand the areas of competency and assessments.","PeriodicalId":373878,"journal":{"name":"Adv. Artif. Intell. Mach. Learn.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adv. Artif. Intell. Mach. Learn.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54364/aaiml.2022.1140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The recent developments in Artificial Intelligence (AI) technologies challenge educators and educational institutions to respond with curriculum and resources that prepare students of all ages with the foundational knowledge and skills for success in the AI workplace. Research on AI Literacy could lead to an effective and practical platform for developing these skills. We propose and advocate for a pathway for developing AI Literacy as a pragmatic and useful tool for AI education. Such a discipline requires moving beyond a conceptual framework to a multilevel competency model with associated competency assessments. This approach to an AI Literacy could guide future development of instructional content as we prepare a range of groups (i.e., consumers, coworkers, collaborators, and creators). We propose here a research matrix as an initial step in the development of a roadmap for AI Literacy research, which requires a systematic and coordinated effort with the support of publication outlets and research funding, to expand the areas of competency and assessments.
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
人工智能素养的胜任力模型方法:从初始框架到模型的研究路径
人工智能(AI)技术的最新发展给教育工作者和教育机构带来了挑战,他们需要通过课程和资源来应对,为所有年龄段的学生提供在人工智能工作场所取得成功的基础知识和技能。对人工智能素养的研究可以为培养这些技能提供一个有效和实用的平台。我们提出并倡导将人工智能素养作为人工智能教育的实用和有用工具。这样一门学科需要超越一个概念框架,进入一个具有相关能力评估的多层次能力模型。这种人工智能素养的方法可以指导未来教学内容的发展,因为我们准备了一系列群体(即消费者、同事、合作者和创作者)。我们在此提出一个研究矩阵,作为制定人工智能素养研究路线图的第一步,这需要在出版物和研究资金的支持下进行系统和协调的努力,以扩大能力和评估领域。
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
自引率
0.00%
发文量
0
期刊最新文献
FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN A Comparison of Methods for Neural Network Aggregation One-class Damage Detector Using Deeper Fully Convolutional Data Descriptions for Civil Application
×
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