Bibliometric analysis of collaboration networks at the intersection of bilingual education and artificial intelligence
This study aimed to examine research on the relationship between bilingual education and artificial intelligence in a holistic manner and to reveal research trends in the field through bibliometric analysis. The development of artificial intelligence technologies has transformed instructional processes in bilingual education, as it has in every area, leading to a rapidly increasing number of studies in this field. Therefore, it is important to map the structures of these studies, their collaboration networks, and their research concentrations. In this research, 54 studies published between 2020 and 2025 in the Web of Science database were analyzed. The data were examined in terms of collaboration at the author, country, and university levels. The findings show that collaboration among authors has a highly clustered and dispersed structure. It was found that collaborations intensified during certain periods, but the overall network had yet to become fully integrated. When international collaboration was analyzed, some countries occupied a central position while others pursued a more independent line of research. The inter-university collaboration network, on the other hand, exhibits a multi-centered structure, with strong institutional clusters yet to be established. Research on the use of artificial intelligence in bilingual education is a rapidly expanding field that will require more integrated collaboration models in the future. Future studies should use larger datasets, conduct network analyses in a comparative manner across different periods, and examine thematic trends in greater depth. Additionally, increasing international and institutional collaborations may be an important step in supporting the development of this field.
Keywords: Educational technology, Artificial intelligence, Bilingualism, Bilingual education, Bibliometric analysis

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How to Cite
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