TY - JOUR
AU1 - Upadhyay, Ashwani Kumar
AU2 - Khandelwal, Komal
AB - PurposeThis paper aims to discuss the rationale, theoretical foundation, application, and future of artificial intelligence (AI)-based training.Design/methodology/approachA review of relevant research papers, articles and case studies is done to highlight developments in research and practice.FindingsAI-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 implicationsApplication 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/valueExecutives 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.
TI - Artificial intelligence-based training learning from application
JF - Development and Learning in Organizations
DO - 10.1108/DLO-05-2018-0058
DA - 2019-03-04
UR - https://www.deepdyve.com/lp/emerald-publishing/artificial-intelligence-based-training-learning-from-application-XiwZFZ03gs
SP - 20
EP - 23
VL - 33
IS - 2
DP - DeepDyve
ER -