Use of Artificial Intelligence for Training: A Systematic Review

With the rapid advancement of artificial intelligence, it has been widely applied in various domains to assist training, including education, medical, automation, and industrial fields. The purpose of this study is to deep dive into the use of artificial intelligence for training by conducting a systematic literature review. Bibliometric data were collected from multiple databases, including Web of Science, Scopus, and Google Scholar through Publish or Perish. The metadata analysis was performed by using VOSviewer, CiteSpace, etc. The results of the analysis indicated the importance of the research topic and the interdisciplinary nature of artificial intelligence-assisted training by clustering the prevalent keywords, such as human factor, deep learning, explainable artificial intelligence, generative artificial intelligence, education, and medical. The research underscores the potential of artificial intelligence in transforming traditional training paradigms. Also emphasizes the limitations of state-of-the-art applications and proposes the need for further exploration in various domains, including the comprehensive evaluation of the system, and personalized artificial intelligence training systems in specific domains.