Artificial intelligence-based training learning from application
Artificial intelligence-based training learning from application
复制标题
基于人工智能的训练从应用中学习
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
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通讯作者：
Komal Khandelwal
中科院分区：
文献类型：
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作者：
A. Upadhyay;Komal Khandelwal
目的
本文旨在讨论基于人工智能（AI）的训练的基本原理、理论基础、应用和未来。
设计/方法论/途径
对相关研究论文、文章和案例研究进行回顾，以突出研究和实践的进展。
研究结果
基于人工智能的培训系统聪明、聪明，并且擅长处理查询。这些系统可以策划内容、评分、评估并向学员提供反馈，从而使学习具有适应性和情境性。
实际意义
人工智能的应用在培训领域至关重要，有助于培训方案的个性化、定制化，提高培训效果。
原创性/价值
高管和研究人员可以通过阅读链接上的相关信息来节省时间，并且以易于阅读的格式讨论和总结了其对人工智能的贡献。
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.