ARTIFICIAL INTELLIGENCE IN EDUCATIONAL MANAGEMENT: EVOLUTION, CONTRIBUTORS AND FUTURE DIRECTIONS

With the increasing use of artificial intelligence (AI) technologies in education, the number of published studies in the field has increased. Numerous studies and surveys have highlighted that the integration of artificial intelligence in the educational process is an extremely complex and vital phenomenon. However, there remains a gap in the scholarly discourse regarding the presentation of this knowledge base through a bibliometric analysis. This study aims to provide an overview of the evolution of this existing literature on this topic by identifying articles published in journals indexed in the Web of Science Core Collection (WoS) database between 2003 and 2024. The search used terms such as "intelligent assistance”, “machine learning”, “chatgpt”, “education”, “educational management”, “school improvement”, “school management”, teacher” resulting in an initial total of 6264 articles. Subsequently, following the application of inclusion and exclusion criteria, 254 studies were retained for analysis. The contribution of this study lies primarily in highlighting the systematic methodologies used in the analyzes of research in educational management. In addition, collaboration patterns between authors, universities and countries are presented and analyzed. The findings provide researchers with valuable insights into the detailed evolution of educational management under the impact of new technologies. In addition, based on these findings, some suggestions were made for identifying new research themes in this field, both conceptually and empirically. The results of the analysis reveal a growing interest in the use of AI in the educational field, bringing both significant opportunities and certain risks.