【摘要】 在大数据时代背景下，眼动追踪技术作为一种非侵入式的视觉行为分析手段，被广泛应用于科学研究和教学实践。为了掌握眼动追踪技术在我国教育研究中的应用领域、特点和动向，采用量化分析法和内容分析法，对学者们于2021年至2023年期间在中文社会科学引文索引(Chinese social sciences citation index, CSSCI)和中国科学引文数据库(Chinese science citation database, CSCD)期刊上发表的相关论文进行梳理和分析，结果表明：眼动追踪技术在教育研究中的应用领域主要有阅读、多媒体学习、语言学习、记忆加工和注意偏向等，其主要特点有实验对象类型较为多样化、眼动测试指标较为多元化、数据分析工具与方法一致等，其未来研究动向有眼动追踪技术在教育研究新场景中的应用、眼动追踪技术与人工智能技术的深度融合等。眼动追踪技术以其独特的优势能够为学习研究者提供更精准、更科学的数据支持，其应用必将有广阔的应用前景和巨大的发展潜力。更多还原

【Abstract】 In the context of the big data era, eye tracking technology, as a non-invasive visual behavior analysis method, is widely used in scientific research and teaching practice. In order to understand the application fields, characteristics, and trends of eye tracking technology in educational research in China, quantitative analysis and content analysis methods were used to sort and analyze the relevant papers published by scholars in Chinese Social Sciences Citation Index(CSSCI) and Chinese Science Citation Database(CSCD) journals from 2021 to 2023. The results showed that the application fields of eye tracking technology in educational research mainly included reading, multimedia learning, language learning, memory processing, and attention bias. Its main characteristics included diverse types of experimental subjects, diverse eye tracking test indicators, and consistent data analysis tools and methods. Its future research trends included the application of eye tracking technology in new educational research scenarios, and the deep integration of eye tracking technology and artificial intelligence technology. Eye tracking technology, with its unique advantages, can provide more accurate and scientific data support for learning researchers. Its application is bound to have broad prospects and enormous development potential.更多还原