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Augmented reality applications in STEM education have increasing importance in recent years and it draws attention that scientific studies on this subject have gained momentum in the literature. The purpose of this research is to conduct a bibliometric analysis of studies on the use of augmented reality applications in STEM education in the literature. The Web of Science database has been used to collect the data. A total of 741 studies were accessed by going through various screening processes for the research. Content analysis and bibliometric analysis have been used in the analysis of the data. In the research, the distribution of publications by years and countries and the most published authors, journals, and countries were accessed. As a result of the research, in terms of the institutions with which the authors work, "National Taiwan University of Science Technology" ranked near the top for the number of citations and "National Taiwan Normal University" ranked near the top for the number of publications as the most productive institutions. It has been detected that "Wu, H. –K." and "Chang, H. –Y" are the most effective and productive researchers. According to the analysis conducted in the context of journals, "Computers Education" and "Interactive Learning Environments" have been the journals that contributed the most to this subject. As a result of the analysis, it was found that the co-authorship network structure is predominant in England and Spain. Concepts that become apparent in clusters in co-occurrences analysis are "augmented reality", "virtual reality", "mobile learning", "science education" and "mixed reality".

Seamless learning has a significance that has been increasing in recent years, and an increasing number of studies on the subject in the literature draws attention. This study aimed to examine the research on seamless learning between 1996 and 2020 with the bibliometric analysis method. The Scopus database was used in the collection of the data. After various screening processes, a total of 389 publications were included in the analysis. Descriptive analysis and bibliometric analysis were used in the analysis of the data. The distribution of publications by years, types of publications, sources, and languages were analyzed in the research. Additionally, visual maps were created with analyses of co-author, co-citation, and co-word. At the end of the study, it was seen that there has been an increase in the number of publications from the past to the present, articles and papers were predominant, and that most of the studies were carried out in English. As a result of bibliometric analysis, it was concluded that the most efficient countries in seamless learning were the United Kingdom, the United States, and Singapore. Also, it has been determined that the National Institute of Education, Center for International Education and Exchange, and Kyushu University institutions are dominant. The most frequently mentioned authors cited in studies in many different fields are M. Sharples, L.-H. Wong, and H. Ogata. According to the co-word analysis, the keywords seamless learning, mobile learning, ubiquitous learning, and mobile-assisted language learning stand out in the field of seamless learning.