Due to the excessive academic burden on Chinese primary and secondary school students, problems such as myopia, depression, and sleep deprivation have emerged. Additionally, extracurricular tutoring has hindered the development of school education and exacerbated educational inequality. As a result, China implemented the “Double Reduction” policy during the compulsory education stage to alleviate students’ homework load and reduce the burden of extracurricular tutoring, which has sparked a wave of research among scholars. This study uses China National Knowledge Infrastructure (CNKI) as the database and retrieves papers related to the Double Reduction policy published between 2013 and 2024, with a total of 886 valid documents after screening. CiteSpace software is used to analyze the selected literature. The study finds that the annual research trend on the Double Reduction policy initially shows a fluctuating increase followed by a decrease, which is primarily influenced by the policy's introduction. Furthermore, the research collaboration network is relatively sparse, with few cooperative relationships between researchers and institutions. Lastly, the research hotspots of the Double Reduction policy encompass four main areas: implementation and fundamental education reform; academic burden and classroom teaching reform; school education, family education, and societal collaboration in education; and the development of physical education and holistic education. The research trends include initial explorations of burden reduction measures, construction of policy support systems, agenda-setting studies on the Double Reduction policy, and evaluation of policy implementation and effectiveness. This study aims to provide a basis for future policy re-decision-making and policy evaluation research.

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.