个性化
计算机科学
领域(数学)
独创性
知识管理
培训(气象学)
阅读(过程)
人工智能
万维网
心理学
物理
气象学
社会心理学
数学
法学
纯数学
政治学
创造力
作者
Ashwani Kumar Upadhyay,Komal Khandelwal
出处
期刊:Development and Learning in Organizations
[Emerald Publishing Limited]
日期:2018-11-27
卷期号:33 (2): 20-23
被引量:54
标识
DOI:10.1108/dlo-05-2018-0058
摘要
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.
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