摘要
Abstract
In order to clearly sort out and accurately grasp the research hotspot and context in the field of international"learner modeling",this paper takes the papers on"learner modeling"in the core journal database of Web of Science during 2013-2022 as the research object,and uses visualized analysis software such as CiteSpace.Bibliometric analysis and knowledge graph analysis are carried out.The results show that:The research on"learner modeling"has developed from a stable development to a sharp rise in the past decade;The United States,Aus-tralia and the United Kingdom started earlier and lasted longer in this field of research,while China took the step of research in the past three years;IEEE Access journal is one of the most published journals in the field of"learner modeling";Less cooperation between research authors and research institutions;Research hotspots mainly focus on data training,intelligent tutor system,machine learning,artificial intelligence and learning analysis.In the past ten years,the research on"learner modeling"has been divided into two stages.The hot research from 2013 to 2019 was the construction and application of learner model in the intelligent tutor system,and the cutting-edge hot research from 2019 to now is the application of deep learning in"learner modeling".In the future,we can focus on the following aspects:In the field of"learner model-ing",cooperation between technical research and applied research should be strengthened to form a good cycle of cooperation;The research teams should strengthen cooperation with each other and carry out further exchanges across fields and disciplines;Continue to focus on emerg-ing technologies and apply them to learner modeling;In the process of in-depth research on big data and deep learning technology,attention should be paid to data security and privacy issues.关键词
学习者建模/知识图谱/CiteSpace/可视化分析Key words
learner modeling/knowledge graph/CiteSpace/visual analysis分类
信息技术与安全科学
