{"title":"Trends and Transformations: A Bibliometric Analysis of Eye-Tracking Research in Educational Technology.","authors":"Liqi Lai, Baohua Su, Linwei She","doi":"10.3390/jemr18030023","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":15813,"journal":{"name":"Journal of Eye Movement Research","volume":"18 3","pages":"23"},"PeriodicalIF":1.3000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12194545/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Eye Movement Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/jemr18030023","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
本研究采用文献计量学分析方法,对眼球追踪在教育技术领域的研究进行了综述。该研究分析了2001年至2024年6月1日期间发表在Web of Science核心馆藏的19种高质量期刊上的374篇相关论文。研究结果揭示了该领域的研究趋势、热点问题和未来发展方向。研究结果表明,眼球追踪技术在教育技术中的应用呈上升趋势,2014年之后显著增加。中国、美国、德国和荷兰在这一领域的研究占主导地位,贡献了大量高质量的研究成果。关键词共现分析表明,“注意”、“认知负荷”、“信息”、“理解”等词语是当前的研究热点。突发关键词分析进一步揭示了研究趋势的演变。这些趋势已经从最初的关注信息处理和应用研究转变为越来越强调学习者理解和行为分析,最终集中在学习成果和新兴技术应用的探索上。本研究不仅让教育技术领域的研究者全面了解眼动追踪的研究现状,而且指出了未来的研究方向,特别是在利用眼动追踪技术优化教学设计、提高学习效果、探索新兴教育技术的应用等方面。
期刊介绍:
The Journal of Eye Movement Research is an open-access, peer-reviewed scientific periodical devoted to all aspects of oculomotor functioning including methodology of eye recording, neurophysiological and cognitive models, attention, reading, as well as applications in neurology, ergonomy, media research and other areas,