2010-2021年自适应学习平台国际研究热点与趋势——基于CiteSpace可视化分析

International Research Hotspots and Trends of Adaptive Learning Platform from 2010 to 2021——A Visualized Analysis Based on CiteSpace

采用文献计量法,利用CiteSpace软件对Web of Science数据库中2010-2021年的自适应学习平台391篇相关文献进行可视化分析.研究发现:(1)从时空上看,自适应学习平台的研究自2016年起处于大规模发展阶段,以中国、美国和西班牙为主要研究阵营.(2)从核心著者来看,该领域的关键研究者大部分都是计算机科学学科背景,缺乏教育学学科背景的关键研究者.(3)从内容上看,自适应学习平台研究主要聚焦在学习者模块和教学模块上,研究热点有情感状态分析、认知特征分析、教学策略、交互式学习环境设计等方面.(4)目前自适应学习平台研究的前沿主要集中在人工智能技术、机器学习、大数据与数据挖掘和高等教育领域.

This study adopts bibliometric method and uses CiteSpace to visually analyze 391 related literatures in web of science from 2010 to 2021.It was found that(1)from the perspective of time and space,the research on adaptive learning platform(ALP)has been in a large-scale development stage since 2016,mainly in China,the United States,and Spain;(2)from the perspective of core authors,most of them have computer science backgrounds,but there is a lack of researchers with education backgrounds;(3)in terms of content,the research of ALP mainly focuses on learner model and instructional model.The research hotspots include affective states analysis,cognitive characteristics analysis,instructional strategy,interactive learning environment and so on;(4)the current frontiers of ALP research are mainly reflected in artificial intelligence technology,machine learning,big data and data mining,and higher education.