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 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.

Citation

Upadhyay, A.K. and Khandelwal, K. (2019), "Artificial intelligence-based training learning from application", Development and Learning in Organizations, Vol. 33 No. 2, pp. 20-23. https://doi.org/10.1108/DLO-05-2018-0058