Artificial intelligence-based training learning from application

doi:10.1108/DLO-05-2018-0058

Paper

Artificial intelligence-based training learning from application

Published Mar 4, 2019 · A. Upadhyay, Komal Khandelwal

Development and Learning in Organizations: An International Journal

39

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1

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Full text Semantic Scholar

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 contextual. Practical implications Application of AI is vital in the field of training, as it helps personalization and customization of training programs to increase the effectiveness of training. Originality/value Executives and researchers can save time by reading relevant information on the linkage, and its contribution to AI is discussed and summarized in an easy to read format.

Study Snapshot

Key takeawayAI-based training systems are smart, intelligent, and effective in personalizing and customizing training programs, increasing training effectiveness.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Artificial intelligence-based training learning from application

References

Citations