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The rapid development of artificial intelligence, particularly generative AI tools, has significantly influenced higher education systems worldwide. In recent years, scholarly attention has increasingly focused on the educational potential of these technologies as well as on their ethical, institutional, and pedagogical implications. The aim of this paper is to identify key research trends and thematic areas related to the integration of artificial intelligence tools in higher education through a bibliometric analysis. The study is based on a dataset of 51 empirical articles indexed in the Web of Science database and published between 2021 and 2025. Data analysis and visualization were conducted using the VOSviewer software. The results reveal a substantial increase in research output after 2023, largely driven by the widespread adoption of generative AI tools such as ChatGPT. Major research themes include personalized learning, student performance and motivation, as well as issues related to academic integrity and critical thinking. The findings confirm the interdisciplinary nature of the research and indicate a shift from initial scholarly discussions to a more systematic examination of the impacts of artificial intelligence on the quality of higher education.
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