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Muhammet SAYGIN
SEVİL GÜVEN
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Muhammet SAYGIN SEVİL GÜVEN, (). ARTIFICIAL INTELLIGENCE IN EDUCATION: BIBLIOMETRIC ANALYSIS OF POSTGRADUATE THESES IN TÜRKİYE. International Journal Of Eurasia Social Sciences, , p. . Doi: .
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Summary
Keywords
Abstract
Artificial intelligence (AI) plays an increasingly significant role in education today, with applications such as student assessment, personalized teaching, process optimization, and enhancing teacher performance. Its transformative potential enables the creation of innovative learning environments, bridging gaps in traditional teaching methods and offering scalable solutions to educational challenges. This study conducts a bibliometric analysis of postgraduate theses on AI in education in Türkiye to evaluate the current research landscape and provide insights for future studies. Among 751 AI-related theses, 24 were specifically identified as focusing on education, with titles explicitly indicating their emphasis on these fields. The analysis reveals that AI-related theses in education have grown significantly since 2019, with a peak in 2022 and 2023. Despite this growth, findings highlight a predominant focus on technical applications, such as information technologies, while direct classroom applications remain limited. The majority of these theses adopt qualitative research methods, emphasizing in-depth exploration over large-scale data analysis. Additionally, a high proportion of theses are at the master’s level, reflecting a need for more doctoral-level research in the field. Key trends include a preference for convenience sampling methods and a concentration of research in social sciences. Furthermore, the study identifies significant variation in citation counts and sample sizes, underscoring diverse research approaches and objectives. Ethical considerations, teacher training, and infrastructural challenges were highlighted as critical barriers to AI integration in education. This study highlights the pressing need for more comprehensive research on integrating AI into educational practices and aims to guide future work in this domain.
Keywords
Artificial Intelligence, Education, Teaching, Bibliometric Analysis, Türkiye