Investigating the Research Trends of Articles on Science Education and Artificial Intelligence

In the current era, the integration of artificial intelligence applications into education systems is inevitable. One of the fields that is expected to be in contact with the concept of artificial intelligence the most is science education. This study was carried out with the aim of revealing the research trends of the articles on science education and artificial intelligence and bringing the bibliometric profile to the literature. Descriptive research design, one of the quantitative research models, was used in the study. In the analysis step, bibliometric analysis method was preferred. Web of Science Core Collection was used as the database and VOSviewer was used as the network analysis program. The findings of the study were obtained by analyzing 89 articles on science education and artificial intelligence. As a result of the research, the most productive author in the articles on the relevant subject area is Xiaoming Zhai, the journal is Frontiers in Education, the institution is University System of Georgia and the country is the USA. In addition to these findings, it was determined that the most frequently used keyword in the articles in the related subject area was “artificial intelligence”.