A bibliometric analysis of educational data mining (EDM) explores the academic landscape of this interdisciplinary field, which applies data mining techniques to educational research. The study aims to systematically examine the field of Educational Data Mining (EDM) to identify the research output over a defined period, focusing on trends, types of publications, and key research topics within EDM. By gathering and analyzing publication data from databases like Scopus, Sematic Scholar, Google Scholar and CrossRef, the analysis uncovers publication and citation patterns, and the research categorial distribution of contributions. This approach provides a comprehensive review of how domain of EDM has evolved. Ultimately, the study aims to inform researchers, educators, and policymakers about current trends, emerging research areas, and the impact of EDM on educational practice and theory. This research is crucial for guiding future research directions and enhancing the application of data-driven approaches in contexts of EDM.