领域(数学)
文献计量学
教育研究
趋势分析
数据科学
计算机科学
新兴技术
光学(聚焦)
教育技术
研究方法
科学网
引文分析
信息技术
内容分析
工程伦理学
数据收集
国家(计算机科学)
管理科学
知识管理
社会学
应用研究
政治学
高等教育
科学计量学
芯(光纤)
研究方法
基础研究
大数据
开放式研究
社会科学
心理学
图书馆学
数学教育
市场调研
原创性研究
主题模型
学习科学
多媒体
纳米技术的社会影响
技术变革
作者
Liqi Lai,Baohua Su,Linwei She
摘要
This study employs bibliometric analysis to provide a comprehensive review of eye-tracking research in the field of educational technology. The study analyzed 374 relevant papers published in 19 high-quality journals from the Web of Science core collection between 2001 and 1 June 2024. The findings reveal research trends, hot topics, and future directions in this field. The findings indicate an upward trend in the application of eye-tracking technology in educational technology, with a significant increase noted after 2014. China, the United States, Germany, and the Netherlands dominate research in this area, contributing to a substantial amount of high-quality research output. Keyword co-occurrence analysis reveals that terms such as “attention,” “cognitive load,” “information,” and “comprehension” are currently hot topics of research. Burst keyword analysis further reveals the evolution of research trends. These trends have shifted from an initial focus on information processing and application studies to a growing emphasis on learner understanding and behavior analysis, ultimately concentrating on learning outcomes and the exploration of emerging technology applications. This study not only provides researchers in the field of educational technology with a comprehensive understanding of the current state of eye-tracking research but also points to future research directions, particularly in optimizing instructional design, enhancing learning outcomes, and exploring the applications of emerging educational technologies using eye-tracking technology.
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