2019
DOI: 10.1108/dlo-05-2018-0058
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Artificial intelligence-based training learning from application

Abstract: Purpose This paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training. Design/methodology/approach A review of relevant research papers, articles and case studies is done to highlight developments in research and practice. Findings AI-based training systems are smart, intelligent and expert in handling queries. These systems can curate content, grade, evaluate, and provide feedback to trainee, thus making learning adaptive and conte… Show more

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Cited by 32 publications
(21 citation statements)
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“…Apart from these aspects, AI can be helpful in making wise decisions in many situations. Furthermore, it can manage patient bookings and provide a reminder to the doctors (Buch et al, 2018;Kulikowski, 2019;Upadhyay and Khandelwal, 2019). These technologies also led to the development of virtual interaction with doctors through various platforms.…”
Section: Hospitalmentioning
confidence: 99%
“…Apart from these aspects, AI can be helpful in making wise decisions in many situations. Furthermore, it can manage patient bookings and provide a reminder to the doctors (Buch et al, 2018;Kulikowski, 2019;Upadhyay and Khandelwal, 2019). These technologies also led to the development of virtual interaction with doctors through various platforms.…”
Section: Hospitalmentioning
confidence: 99%
“…Attempts must be made to cater to such diverse training needs based on the personal characteristics and requirements of participants in the hybrid workplace because it gives superior results given the high-quality concise learning path for individual learners (Chen, 2008). Technologies such as artificial intelligence (AI) can help personalize employee learning (Maity, 2019; Upadhyay & Khandelwal, 2019). Further, the skill requirements are different for different roles.…”
Section: Designing and Implementing A Training And Development Progra...mentioning
confidence: 99%
“…Unlike SST, AI-based technology can also act as an independent agent, whether users are aware of AI behavior (Hoffman and Novak, 2017;Upadhyay and Khandelwal, 2019). For example, Google's spam filter, one of AI's first applications, detects and blocks 99.9% of spam and phishing messages without user input (Lardinois, 2017).…”
Section: Core Constructmentioning
confidence: 99%