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Abstract：
This study seeks to explore the different knowledge structures in the sphere of educational research into COVID-19 during 2020. Using bibliometric methods, analysis was performed of a sample of 308 scientific articles retrieved from the Web of Science database. Using different data analysis techniques combining co-occurrence analysis, co-citation analysis and factorial analysis, All Keywords and Keywords Plus were used to achieve the main research objective: identification of the main themes and trends of production in the sphere of educational research into COVID-19. The main findings of this study in terms of the conceptual structure show that analysis of the centrality and density of the thematic trends points to a generalised structural change in the entire educational system towards methodological teaching-learning procedures oriented towards distance education. As for the intellectual structure, among the host of authors and sources of information involved only a select few have a greater influence on the scientific community. Finally, in terms of social structure, there is limited collaboration between authors and institutions from different countries. However, this collaboration is more intense within countries themselves and in terms of their own production, with the USA being the country with the strongest links.
摘要：
本研究旨在探索2020年COVID-19教育研究领域的不同知识结构。使用文献计量学方法，对从WebofScience数据库中检索到的308篇科学论文的样本进行了分析。使用不同的数据分析技术结合共现分析，共引分析和因子分析，所有关键字和关键字加都用于实现主要研究目标：确定COVID-19教育研究领域的主要主题和生产趋势。这项研究在概念结构方面的主要发现表明，对主题趋势的中心性和密度的分析表明，整个教育系统朝着面向远程教育的方法论教学程序发生了普遍的结构变化。至于智力结构，在涉及的大量作者和信息来源中，只有少数人对科学界有更大的影响。最后,就社会结构而言，来自不同国家的作者和机构之间的合作有限。然而,这种合作在国家内部和国家自身的生产方面更加紧密，美国是联系最紧密的国家。
