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

Cristina Mele (), Marialuisa Marzullo (), Swapnil Morande () and Tiziana Russo Spena ()
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Cristina Mele: Department of Economics, Management, Institutions, University of Naples Federico II, Naples 80126, Italy
Marialuisa Marzullo: Department of Economics, Management, Institutions, University of Naples Federico II, Naples 80126, Italy
Swapnil Morande: Department of Economics, Management, Institutions, University of Naples Federico II, Naples 80126, Italy
Tiziana Russo Spena: Department of Economics, Management, Institutions, University of Naples Federico II, Naples 80126, Italy

Service Science, 2022, vol. 14, issue 2, 77-89

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.

Keywords: artificial intelligence; human learning abilities; Bloom’s revised taxonomy; COVID-19 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orserv:v:14:y:2022:i:2:p:77-89

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