Big Data and Artificial Intelligence in Education: A Bibliometrics Study from 2010 to 2023

In the digital era, it is necessary to promote talent cultivation and education reform with the help of big data. In order to understand the development status of education big data and AI education, this paper takes Web of Science (WoS) 2010–2023 as the data source, and uses the visualization software CiteSpace and VOSviewer to conduct quantitative analysis and visualization of relevant literature. Through co-citation analysis and co-occurrence network analysis, cluster analysis is conducted on authors, publishing institutions and high-frequency keywords to explore and analyze the hot spots, evolution paths and development trends of education big data and AI education research. At the same time, the highly cited literature and representative scholars are analyzed to further understand the trend of the field. Conclusions from the study(1) In the past decade, the scope of research in this field has been expanding and the research content has been gradually deepening.(2) Although researchers in this field have different focuses, they have formed stable cooperative relationships.(3) Most papers in this field have been published in journals related to educational technology and computational intelligence, and open source journals have promoted research in this field. (4) Research in this field has prompted some scholars to pay attention to data privacy, data quality issues, and ethical issues.