Artificial Intelligence-Supported Workplace Education: A Systematic Review of Learning Outcomes, Opportunities, and Challenges Cover Image

Artificial Intelligence-Supported Workplace Education: A Systematic Review of Learning Outcomes, Opportunities, and Challenges
Artificial Intelligence-Supported Workplace Education: A Systematic Review of Learning Outcomes, Opportunities, and Challenges

Author(s): Ecehan Kazancı Yabanova
Subject(s): Higher Education , Human Resources in Economy, ICT Information and Communications Technologies, Sociology of Education
Published by: Üniversite Park Ltd. Sti.
Keywords: Employee training; artificial intelligence; corporate learning; adaptive learning; learning analytics;

Summary/Abstract: Background/purpose. In the digital age, education is no longer considered an activity carried out during a specific period of life, but rather a lifelong concept. The skills acquired through formal education processes can become obsolete within a few years due to the rapid pace of the era. It is precisely at this point that corporate structures are under more pressure than ever to keep their employees' skills up to date. These training programmes are conducted with intensive use of educational technologies in order to prevent workforce loss and provide training at an appropriate cost. In the field of corporate learning and development, the impact of artificial intelligence technologies on employee training is also increasing. Materials/methods. This article systematically examines the effects, opportunities, and challenges of AI applications in employee training. The field of artificial intelligence applications in education has been evaluated within a theoretical framework, and articles published between 2020 and 2025 have been analysed using a systematic review and a thematic content analysis, focusing on impacts, opportunities, and challenges. Results. The analysis revealed that artificial intelligence affects cognitive, affective, behavioural, and technical-organisational dimensions of employee training. Opportunities were reported in learning quality, cognitive development, affective and social aspects, performance and efficiency, and organisational aspects, while challenges were reported in technical, infrastructure, ethics and law, organisational, and pedagogical dimensions. Conclusion. Artificial intelligence is expected to make significant contributions to employee training. However, many areas identified as challenges need to be addressed in order to maximise the benefits of these technologies.

  • Issue Year: 19/2025
  • Issue No: 6
  • Page Range: 1-30
  • Page Count: 30
  • Language: English
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