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

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.

Enabling Value Co-Creation in Healthcare through Blockchain Technology

“…There is a standard agreement that value co-creation implies the need to consider the involvement of patients, caregivers, and other actors who require accessible, complete, and timely personal information [47]. There is also a demand for more significant interactions and coordination between service providers, specialist centers, physicians, other healthcare professionals, and patients [9].…”

“…This debate is still in progress. For example, the most effective way to fulfill the expectation for improved value co-creation in healthcare through multiple actors' involvement is still under contention, especially considering that digital service healthcare is a highly complex network [47]. The literature advises that this is not only a matter affecting patients: it touches upon a broad number of actors and resources that could be better integrated and mixed.…”

The Modern Impact of Artificial Intelligence Systems in Healthcare: A Concise Analysis

“…After that, many terms appeared, such as computer medicine, electronic medical data processing, medical informatics, automatic medical data processing, medical information processing, medical information science, medical software engineering, medicine, and other terms that are integrated into healthcare institutions. Artificial intelligence systems are characterised by their ability to think like humans and act rationally, which favours their application in medical fields in conducting diagnoses, analysing data, and developing healthcare workers [4][5][6]. In addition, these systems seek to grow continuously and act like physicians in making decisions about patients by diagnosing their medical condition and determining the appropriate treatment for them [7] [8].…”