基于知识图谱的"双减"政策研究

In The release of the "double reduction" policy has brought profound changes to the field of education, and the policy has attracted a lot of research and discussion in the academic community. Based on the knowledge graph analysis method, this study uses CiteSpace software to conduct a visual analysis of 736 documents in the China National Knowledge Infrastructure database. Through keyword co-occurrence analysis, it is found that existing research focuses on six aspects, including compulsory education, off-campus training, and homework design; through keyword clustering analysis, it is found that the research content of the "double reduction" policy includes four aspects: policy interpretation, education type, education subject, and policy implementation; through the analysis of emergent words, it is found that off-campus training, homework burden, educational publishing, and online education will become the future research frontier. Based on the above results, this study thinks and puts forward suggestions from three aspects: research topic, research method, and research perspective, in order to further promote the deepening of policy research in this field.