Bibliometric Analysis of Articles Published on Artificial Intelligence in Education During the Last Five Years in Türkiye
DOI:
https://doi.org/10.5281/zenodo.14669374Abstract
This study aims to examine articles published in Turkey on Artificial Intelligence in education between 2020 and 2024 using content analysis. The research seeks to identify general trends in Artificial Intelligence in education, including the distribution of keywords, research methods employed, types of sampling, and data collection tools. The analysis builds on literature addressing the impact of Artificial Intelligence on education, exploring how it modulates teaching strategies and engages students. Bibliometric analyses provide insight into the use of Artificial Intelligence tools across various educational levels and reveal trends in this domain. The study’s findings aim to enhance understanding of research on Artificial Intelligence in education, identifying gaps and areas for further exploration. Additionally, it addresses the challenges of integrating Artificial Intelligence and machine learning into pedagogical processes, intending to guide future research directions for educators, researchers, and policymakers. This study is significant for understanding the evolution of Artificial Intelligence in education and providing guidance for future work in the field.
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Copyright (c) 2024 Semra Benzer, Ayşen Gündoğdu (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.