Search Results

ABSTRACT

The aim of the study is to research based on artificial intelligence (AI) literacy in the context of education with the bibliometric analysis method. Study identifies trends in studies on AI literacy and reveals the main disciplines, methodologies, and thematic focal points of this field. During the data collection process, a comprehensive search of the Web of Science and Scopus databases was carried out. A total of 154 articles published as of February 2025 were included in the analysis. The year of publication, database, research area, country of publication, journal in which it was published, university in which it was conducted, author distribution, method, abstract and keyword trends, and citation network information were analyzed. VOSviewer software was used for data visualization and network mapping. According to the results; It was seen that the first article on the subject was published in 2019 and the highest number of articles were published in 2024. In the researches, it was seen that AI literacy focused on teacher education, student skills, reflection on programs, ethical concerns and technological infrastructure. It was observed that the most phase research was conducted in China and the USA and the quantitative method was predominantly used. The journals in which the researches are published the most are Education and Information Technologies and Computers and education: Artificial Intelligence. As an institution, Education University of Hong Kong is the university with the most research on the subject. It was observed that the words AI, literacy, Higher education and teacher competency were used extensively as keywords and abstracts. In terms of the results, it was suggested to the researchers that comparative studies examining how AI literacy is perceived and applied in different cultural and educational contexts and research that includes multifaceted evaluations in which mixed methodology is put to work can be conducted.

Keywords: artificial intelligence literacy, bibliometric analysis, AI in education, research trends, citation network analysis