教师AI素养的国际研究现状、热点与趋势:基于Web of Science数据库的文献计量分析

International Research on Current Status,Hotspots and Trends of Teacher AI Literacy:A Bibliometric Analysis Based on the Web of Science Database

采用文献计量方法,对Webof Science核心数据库中2013-2023年间教师人工智能(AI)素养研究的全球知识图谱进行系统梳理和可视化呈现。结果显示,自2018年以来,该领域研究呈现快速增长态势,并形成了以香港中文大学、北京师范大学等机构为核心,中国学者为主导的全球合作网络;研究热点围绕教师AI素养内涵、测评、培育等议题,逐步向人机协同等前沿延伸;研究主题的动态演进折射出智能时代教师角色重塑与能力再造的时代诉求。未来研究应进一步创新理论范式,丰富研究情境,完善培育体系,推动多领域协同创新,开创教师AI素养发展的新生态。

This study systematically maps and visualizes the global knowledge landscape of teacher artificial intelligence(AI)literacy research from 2013 to 2023,based on bibliometric analysis of the Web of Science Core Collection database.The results demonstrate a rapid growth of research in this field since 2018,with a global collaboration network dominated by Chinese scholars and centered on institutions such as the Chinese University of Hong Kong and Beijing Normal University.Research hotspots revolve around the connotation,assessment,and cultivation of teacher AI literacy,gradually extending to cutting-edge areas such as human-machine collaboration.The dynamic evolution of research themes reflects the pressing need for teacher role reconstruction and capacity building in the intelligent era.The future research need further innovating theoretical paradigms,enriching research contexts,improving cultivation systems,and promoting multi-field collaborative innovation to create new ecologies for teacher Al literacy development.