Artificial intelligence-based training learning from application

Author:

Upadhyay Ashwani Kumar,Khandelwal Komal

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.

Publisher

Emerald

Subject

Library and Information Sciences,Organizational Behavior and Human Resource Management,Library and Information Sciences,Organizational Behavior and Human Resource Management

Reference6 articles.

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2. Carter, J. (2018), “How artificial intelligence is creating new ways of storytelling”, available at: www.techradar.com/news/how-artificial-intelligence-is-creating-new-ways-of-storytelling (accessed 25 June 2018).

3. Maderer, J. (2017), “Georgia tech course prepares for third semester with virtual teaching assistants”, available at: www.news.gatech.edu/2017/01/09/jill-watson-round-three (accessed 25 June 2018).

4. Mobile Coach (2018), “Aristocrat technologies”, available at: https://mobilecoach.com/corporate-training/ (accessed 25 June 2018).

5. Oesch, T. (2018), “Using artificial intelligence to augment coaching”, available at: https://trainingindustry.com/articles/sales/using-artificial-intelligence-to-augment-coaching/ (accessed 23 March 2018).

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