The DOI matches its Crossref record; 34 of the 36 references it cites were found in a registry or an index.
Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs
Open accessAbstract
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.
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“Such on-the-fly adjustment not only results in better learning but also prevents cognitive burnout, such that the trainee is able to maintain high performance over extended training periods [217].”
From Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis (2024) · cites this paper as [217]
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Cited by
Sorted by citations
Ethics and discrimination in artificial intelligence-enabled recruitment practices
Chen, Z. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-02079-x · Cited by 450
Self-citationHalkiopoulos, C., & Gkintoni, E. (2024) · Electronics · doi:10.3390/electronics13183762 · Cited by 328
The adoption of artificial intelligence in human resources management practices
Nawaz, N., Arunachalam, H., Pathi, B. K., & Gajenderan, V. (2024) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2023.100208 · Cited by 353
Zhang, J., & Zhang, Z. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12988 · Cited by 263
Qin, Y., Xu, Z., Wang, X., & Škare, M. (2023) · Journal of the Knowledge Economy · doi:10.1007/s13132-023-01183-2 · Cited by 231
Metadata
- Authors
- Chen, Z.
- Affiliations
- Nanjing University of Aeronautics and Astronautics (CN)
- Corresponding author
- Chen, Zhisheng
- ORCID
- Chen, Zhisheng
- Venue
- Journal of the Knowledge Economy
- Published
- 2022-02-24
- Volume
- 14
- Issue
- 2
- Pages
- 2007-2025
- ISSN
- 1868-7865 (ISSN-L)
- 1868-7873
- PMC
- PMC8865945
- OpenAlex
- W4213424378
- Cited by
- 156
- References
- 36
- Citations by year
- 2026: 26 · 2025: 58 · 2024: 48 · 2023: 22 · 2022: 2
- FWCI
- 32.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the Knowledge Economy (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › Artificial Intelligence in Education
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in training, AI-based training, individualized training, business development training, knowledge management, training needs assessment, training organization, training feedback, knowledge organization, learning quality
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