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Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs

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  • Zhisheng Chen

    (Nanjing University of Aeronautics and Astronautics, Jiangning District)

Abstract

First, the benefits of AI-based training for business development are presented. Then, the theoretical literature on various stages from traditional training to AI-based training is analyzed. Finally, we analyze AI applications in the training process and managerial response. This study presents a framework for the application of artificial intelligence (AI) technology to training and managerial challenges. AI tools can be applied to the training process, including knowledge management (KM), needs analysis, training organization, and results feedback. AI-based training transforms organizations into knowledge organizations that can meet the demands of personalized training and improve learning quality. AI tools bring about a shift in the training phases of knowledge base creation, needs surveys, the organization of training, and feedback on results.

Suggested Citation

  • Zhisheng Chen, 2023. "Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 2007-2025, June.
    • Handle: RePEc:spr:jknowl:v:14:y:2023:i:2:d:10.1007_s13132-022-00985-0
    DOI: 10.1007/s13132-022-00985-0
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    References listed on IDEAS

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    1. Elias G. Carayannis & David F. J. Campbell, 2021. "Democracy of Climate and Climate for Democracy: the Evolution of Quadruple and Quintuple Helix Innovation Systems," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(4), pages 2050-2082, December.
    2. Rajendra Akerkar, 2019. "Artificial Intelligence for Business," SpringerBriefs in Business, Springer, number 978-3-319-97436-1, December.
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    Cited by:

    1. Maja Rožman & Dijana Oreški & Polona Tominc, 2023. "Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment," Sustainability, MDPI, vol. 15(6), pages 1-21, March.

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