How Artificial Intelligence Enhances Human Learning Abilities: Opportunities in the Fight Against COVID-19

IF 1.9 4区管理学 Q3 BUSINESS

Service Science Pub Date : 2022-06-01 DOI:10.1287/serv.2021.0289

C. Mele, Marialuisa Marzullo, Swapnil Morande, T. R. Spena

引用次数: 8

Abstract

This paper widens the focus on how artificial intelligence (AI) can foster the learning abilities of human actors, adopting a wider view with respect to a strict focus on tasks and activities. The interaction between AI and human learning has not been investigated in service research. Placing its theoretical roots in work by Huang and Rust [Huang MH, Rust RT (2021) Engaged to a robot? The role of AI in service. J. Service Res. 24(1):30–41.] in service research and on Bloom’s revised taxonomy in education studies [Anderson LW, Krathwohl DR, Airasian PW, Cruikshank KA, Mayer RE, Pintrich PR, Raths J, Wittrock MC (2001) A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives (Longman, London).], this study offers an integrative framework for the ways AI enhances human learning abilities. Some cases in the context of COVID-19 offer insightful illustrations of the framework.

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人工智能如何增强人类学习能力:抗击COVID-19的机遇

本文扩大了对人工智能(AI)如何培养人类演员学习能力的关注，采用了更广泛的观点，严格关注任务和活动。人工智能与人类学习之间的相互作用尚未在服务研究中得到研究。将其理论基础置于Huang和Rust的工作中[Huang MH, Rust RT(2021)与机器人订婚?人工智能在服务中的作用。[j]参考文献，24(1):30-41。[Anderson LW, Krathwohl DR, Airasian PW, Cruikshank KA, Mayer RE, Pintrich PR, Raths J, Wittrock MC(2001)《学习、教学和评估的分类:布鲁姆教育目标分类的修订》(Longman, London)。]，这项研究为人工智能增强人类学习能力的方式提供了一个综合框架。2019冠状病毒病背景下的一些案例为这一框架提供了深刻的例证。

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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来源期刊

Service Science Multiple-

CiteScore

3.30

自引率

4.30%

发文量

期刊介绍： Service Science publishes innovative and original papers on all topics related to service, including work that crosses traditional disciplinary boundaries. It is the primary forum for presenting new theories and new empirical results in the emerging, interdisciplinary science of service, incorporating research, education, and practice, documenting empirical, modeling, and theoretical studies of service and service systems. Topics covered include but are not limited to the following: Service Management, Operations, Engineering, Economics, Design, and Marketing Service System Analysis and Computational Simulation Service Theories and Research Methods Case Studies and Application Areas, such as healthcare, energy, finance, information technology, logistics, and public services.