An Integrative Literature Review on AI and Workplace learning

The rapid growth and advancement of technology has highlighted the importance of AI, but research on its impact in workplace learning is relatively lacking. In response, this study aims to analyze in-depth the studies of the last five years on AI and workplace learning from 2020 to 2024, and provide effective direction of AI use in workplace learning. A total of 47 articles were selected and analyzed based on four categories: work efficiency, interaction exploration, ethical approach, and future AI-based workplace learning. According to the analysis, first, organizations can use AI to increase productivity and support workplace learning. Second, AI enhances mutual exploration between individuals and groups. Third, ethical guidelines for implementing AI in workplace learning are needed. Fourth, establishing a direction for responding to future AI-based workplace learning is necessary. In conclusion, this study expands the theoretical discussion on AI and workplace learning by identifying and categorizing previous research on this field. It is also significant to present concrete suggestions for effective AI implementation in workplace learning.

Authors

Publication Details

Journal
The Institute for Educational Research
Published
2024-12-31
DOI
https://doi.org/10.35283/erft.2024.37.4.2
Primary Topic
AI and HR Technologies
Type
article
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article

An Integrative Literature Review on AI and Workplace learning

Mi Seon Oh, Kyu Been Lee, Hae Soo Song, Seok Young Oh
The Institute for Educational Research
AI and HR Technologies
article

An Integrative Literature Review on AI and Workplace learning

Mi Seon Oh, Kyu Been Lee, Hae Soo Song, Seok Young Oh
article en

Abstract

The rapid growth and advancement of technology has highlighted the importance of AI, but research on its impact in workplace learning is relatively lacking. In response, this study aims to analyze in-depth the studies of the last five years on AI and workplace learning from 2020 to 2024, and provide effective direction of AI use in workplace learning. A total of 47 articles were selected and analyzed based on four categories: work efficiency, interaction exploration, ethical approach, and future AI-based workplace learning. According to the analysis, first, organizations can use AI to increase productivity and support workplace learning. Second, AI enhances mutual exploration between individuals and groups. Third, ethical guidelines for implementing AI in workplace learning are needed. Fourth, establishing a direction for responding to future AI-based workplace learning is necessary. In conclusion, this study expands the theoretical discussion on AI and workplace learning by identifying and categorizing previous research on this field. It is also significant to present concrete suggestions for effective AI implementation in workplace learning.

The Institute for Educational ResearchVol. 37(4)
Openalex Percentile: Top 62%
AI and HR Technologies
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An Integrative Literature Review on AI and Workplace learning — Mi Seon Oh, Kyu Been Lee, et al. · The Institute for Educational Research (2024) | TGRS Research Map | TGRS