基于可视化探析我国高等理科教育,从文献中研究目前高等理科教育现状,并结合中医药类高校进行讨论。该研究以中国知网(CNKI)文献总库作为文献检索源,使用CiteSpace对与主题“理科”和(AND)“高等教育”相关的文献进行可视化,并使用Exce...基于可视化探析我国高等理科教育,从文献中研究目前高等理科教育现状,并结合中医药类高校进行讨论。该研究以中国知网(CNKI)文献总库作为文献检索源,使用CiteSpace对与主题“理科”和(AND)“高等教育”相关的文献进行可视化,并使用Excel辅助制作表格,总共呈现的知识图谱有:发文趋势图、关键词共现图、高频关键词表格、关键词聚类统计表格、关键词时序演进图、关键词突现图。并对其进行可视化定量研究,深入探讨其研究热点和未来趋势,结合中医药类高校以探析中医药类高校理科教育情况,期望对新时代发展中医药特色高校发展有所启发。Based on a visual exploration of higher education in the sciences in China, this study examines the current state of higher education in the sciences through literature research and discusses it in conjunction with universities specializing in traditional Chinese medicine. The research uses the China National Knowledge Infrastructure (CNKI) literature database as the source for literature retrieval, employing CiteSpace to visualize literature related to the themes of “science” and “higher education”. Excel is used to assist in creating tables. The knowledge maps presented include: publication trend graphs, keyword co-occurrence maps, high-frequency keyword tables, keyword clustering statistics tables, keyword temporal evolution graphs, and keyword burst graphs. A quantitative visual analysis is conducted to explore research hotspots and future trends, with a focus on the situation of science education in traditional Chinese medicine universities, aiming to provide insights into the development of universities with traditional Chinese medicine characteristics in the new era.展开更多
文摘基于可视化探析我国高等理科教育,从文献中研究目前高等理科教育现状,并结合中医药类高校进行讨论。该研究以中国知网(CNKI)文献总库作为文献检索源,使用CiteSpace对与主题“理科”和(AND)“高等教育”相关的文献进行可视化,并使用Excel辅助制作表格,总共呈现的知识图谱有:发文趋势图、关键词共现图、高频关键词表格、关键词聚类统计表格、关键词时序演进图、关键词突现图。并对其进行可视化定量研究,深入探讨其研究热点和未来趋势,结合中医药类高校以探析中医药类高校理科教育情况,期望对新时代发展中医药特色高校发展有所启发。Based on a visual exploration of higher education in the sciences in China, this study examines the current state of higher education in the sciences through literature research and discusses it in conjunction with universities specializing in traditional Chinese medicine. The research uses the China National Knowledge Infrastructure (CNKI) literature database as the source for literature retrieval, employing CiteSpace to visualize literature related to the themes of “science” and “higher education”. Excel is used to assist in creating tables. The knowledge maps presented include: publication trend graphs, keyword co-occurrence maps, high-frequency keyword tables, keyword clustering statistics tables, keyword temporal evolution graphs, and keyword burst graphs. A quantitative visual analysis is conducted to explore research hotspots and future trends, with a focus on the situation of science education in traditional Chinese medicine universities, aiming to provide insights into the development of universities with traditional Chinese medicine characteristics in the new era.
