Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs
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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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On-the-fly adjustment in neuroadaptive systems 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.
“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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Erfan, M., & Bakri, M. (2025) · Advances in Management & Financial Reporting · doi:10.60079/amfr.v3i3.602 · Cited by 6 · see citing works
Mızrak, F., & Akkartal, G. R. (2023) · Journal of Aviation · doi:10.30518/jav.1262860 · Cited by 6 · see citing works
Grigoryan, A., Melkumyan, A., Karapetyan, L. V., Sahakyan, M., Badalyan, M. V., & Gabrielyan, B. (2025) · Problems and Perspectives in Management · doi:10.21511/ppm.23(4).2025.11 · Cited by 5 · see citing works
The Impact of Artificial Intelligence on Human Resource Management
Maota, T., & Naidoo, V. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-8679-8.ch016 · Cited by 5 · see citing works
Retracted: The Future of Hr Marketing Ai-Driven Approaches to Talent Acquisition and Management
Gupta, M., Ammani, S., Dontineni, M. R. R., Kumar, B. R., Gupta, M., & Katta, S. K. R. (2024) · International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC) · doi:10.1109/icec59683.2024.10837377 · Cited by 5 · see citing works
RetractedAI and the Future of Workforce Training
Oschinski, M., Crawford, A., & Wu, M. (2024) · doi:10.51593/20240033 · Cited by 5 · see citing works
Tian, H., Ou, R.-Q., & Chen, Q. (2025) · Career Development International · doi:10.1108/cdi-11-2024-0503 · Cited by 5 · see citing works
Responsible manufacturing toward Industry 5.0
Tian, Y., & Liu, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13924-6.00008-9 · Cited by 4 · see citing works
AI Literacy in Vocational Education: A Framework for Teacher Professional Development
Shi, Y., Gu, M., & Li, M. (2025) · Journal of educational theory and practice. · doi:10.62177/jetp.v2i4.863 · Cited by 4 · see citing works
Raza, M. A., Zaheer, M. A., Ali, M., Chaudhary, S. I., Ejaz, R., & Khan, Z. (2023) · International Journal of Organizational Leadership · doi:10.33844/ijol.2023.60394 · Cited by 4 · see citing works
Madanchian, M., Vincenti, M., & Taherdoost, H. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-54671-6_31 · Cited by 4 · see citing works
Examining the Challenges of Adopting Modern Technologies in Public Sector Human Resource Management
Sani, S., & Mandina, S. P. (2024) · Advances in human resources management and organizational development book series · doi:10.4018/979-8-3693-2889-7.ch004 · Cited by 4 · see citing works
A novel algorithm for personalized learning in preschool education using artificial intelligence
Zhang, Z., Zhang, X. M., & Liu, X. (2025) · Journal of Computational Methods in Sciences and Engineering · doi:10.1177/14727978251314562 · Cited by 4 · see citing works
The Impact of Digital Technology and 21st Century Skills on Employee Performance
Yoma, F. O., Ranuharja, F., Fauzihardani, E., & Rino, R. (2025) · Jurnal Teknologi Informasi dan Pendidikan · doi:10.24036/jtip.v18i1.863 · Cited by 4 · see citing works
Artificial Intelligence Model for Human Capital Management
Hadiyatno, D., Susilowati, D., Moorcy, N. H., Arrywibowo, I., & Yuliani, T. (2023) · Jurnal Penelitian Pendidikan IPA · doi:10.29303/jppipa.v9i10.5083 · Cited by 4 · see citing works
Chen, Z. (2024) · Interactive Learning Environments · doi:10.1080/10494820.2024.2315135 · Cited by 3 · see citing works
Self-citationArtificial intelligence: challenges and benefits for business
Kirova, M., & Boneva, M. (2024) · International Scientific Conference „Business and Management“ · doi:10.3846/bm.2024.1277 · Cited by 4 · see citing works
Benabou, A., & Touhami, F. (2025) · Management and Accounting Review · doi:10.24191/mar.v24i01-15 · Cited by 3 · see citing works
Artificial intelligence and people management in the 21st century
Almeida, F., Silva, A. J., & Lopes, S. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-819471-3.00003-3 · Cited by 3 · see citing works
THE FUTURE OF AI IN HRM. A CASE STUDY OF THE HR DECISION-MAKING
Drela, K., Grabowska, A., Brojak-Trzaskowska, M., & Bousia, A. (2025) · doi:10.18276/978-83-8419-053-1-20 · Cited by 2 · see citing works
AI-Driven Personalisation of Project Management Learning Paths
Rais, M. K., Mukherjee, A., & Albrecht, J. C. (2025) · IEEE European Technology and Engineering Management Summit (E-TEMS) · doi:10.1109/e-tems64751.2025.11239146 · Cited by 2 · see citing works
Mwogosi, A., Maganga, M., Gregory, S., Msaru, U., Amos, A., & Kajala, J. (2025) · Digital Health · doi:10.1177/20552076251404506 · Cited by 2 · see citing works
Education and Training as Improvement Interventions
Benishek, L. E., Wu, A. W., & Rosen, M. A. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009326308 · Cited by 2 · see citing works
Mostafa, B. A. (2026) · European Journal of Sustainable Development · doi:10.14207/ejsd.2026.v15n1p383 · Cited by 2 · see citing works
BAYTAR, C. U. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-778-420261002 · Cited by 2 · see citing works
Umar, S., Khan, A. B. M., & Asmat, S. (2023) · Journal of Social Sciences Development · doi:10.53664/jssd/02-02-2023-12-273-285 · Cited by 2 · see citing works
Reddy, V. S., Preethi, K. Y. S., Mounika, T., & Kousar, N. (2025) · International Journal of Research Publication and Reviews · doi:10.55248/gengpi.6.0425.15133 · Cited by 2 · see citing works
PERSONALIZED LEARNING PATHWAYS IN INFORMAL IT LEARNING USING GENERATIVE AI
Mayilyan, A. (2025) · Education in the 21st Century · doi:10.46991/educ-21st-century.v6.i2.81 · Cited by 2 · see citing works
- 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
- Physical Sciences › Computer Science › Information Systems › 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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