Big Data and Data Mining in Education: A Bibliometrics Study from 2010 to 2022

To understand the development status of the field of educational big data and educational data mining in recent years, this paper uses VOSviewer and CiteSpace to quantitatively analyze and visualize the relevant literature in the Web of Science (WoS) from 2010 to 2022. Using methods such as co-occurrence analysis and co-citation analysis, the research hotspots, evolutionary paths and development trends in the field of educational big data and educational data mining are introduced, and the highly cited and representative literature of different time periods are analyzed in depth to summarize the mainstream research hotspots in the field and grasp the development pulse of the field. The research found that: (1) A collaborative network of authors in this field has been largely formed; (2) The journals in the field belong to the field of educational technology and computer education, and open access journals have played a role in promoting the development of the field; (3) The depth and breadth of research in the field have expanded rapidly in the last decade.