With the birth of ChatGPT, it has had a strong impact on the education industry, and the education association research is also diverse. This study aims to provide reference and new ideas for academic research in the educational field by analyzing the current research status, research hotspots, and research trends of ChatGPT in the field of education, and to provide some suggestions and new initiatives for education regulatory authorities. This study mainly used literature analysis and bibliometric methods to conduct quantitative and statistical analysis on the selected 452 advanced literature. At the same time, with the help of research tools such as CiteSpace 2022, WORDART2024, and XLSX2024, the data of the literature was input to generate visual charts. Through the interpretation of the charts, conclusions were drawn. This study analyzes the main characteristics of the current research situation through the distribution of literature time, disciplinary specialties, research level, and academic journals. Secondly, the distribution of research hotspots is revealed through keyword frequency statistics and keyword co-occurrence analysis. By analyzing the author's research trends and publishing institutions, it aims to explore the development trends in this field. Finally, this study found that the number of publications on the association between ChatGPT and education showed a steady upward trend, with the main disciplines focused on educational theory and computer application technology, and the publication journals concentrated on university sponsored academic journals and Chinese core journals. The research hotspots revolve around artificial intelligence, with strong intersection between hotspots. The research authors have strong independence and weak correlation. But there is strong integration and correlation between research institutions.

2022 marks the thirtieth year of diplomatic relations between China and South Korea. Two countries’ relations are not only one of the most important state-to-state relations in East Asia, but also important relations that attract the attention of all over the world. This research used CiteSpace 5.8.R3 software to extract relevant papers on China-Korea relations from CNKI, a representative academic database in China. By extracting authors, institutions, keywords and other elements, this research focused on how the research on China-Korea relations in CAC is carried out and what kind of characteristics it has. This research found that in terms of the total amount, the number of academic achievements of CAC on China-Korea relations is not large, and China-Korea relations have not been the main focus of the CAC. From the perspective of scholars and institutions, CAC have not yet formed a core scholar and core scientific research institution. Judging from the keyword analysis, CAC have involved various fields of China-Korea relations, but their focus was mainly on the major events that happened each year, scholars’ vision was not broad enough, meanwhile the focus did not last long enough.