近10年基于CiteSpace的二语写作自动反馈可视化文献计量分析

A Visualization-Based Bibliometric Analysis of CiteSpace-Based Automated Feedback in Second-Language Writing over the Past Decade

摘要: 研究借助CiteSpace文献计量工具对2016~2026年中国知网(CNIK)收录的343篇有关二语写作自动反馈的研究文献进行可视化分析。通过关键词共线、关键词聚类分析、时间共线等系统梳理近十年的发文趋势、核心领域和研究热点。研究发现：国内近十年有关二语写作自动反馈的相关研究呈现波动上升态势，尤其是近三年增长更为显著；在研究的核心领域上，主要聚焦的话题包括二语写作反馈的机制、反馈技术的应用以及智能反馈应用场景和效度；同时该研究领域的未来方向将持续的深入研究人工智能技术和二语写作反馈的融合，探讨“人机协同”“教师角色转变”等更具实践性的方向。本研究清晰呈现了二语写作自动反馈的研究态势，为未来该领域的发展和实践提供参考。

Abstract: This study utilized the CiteSpace bibliometric tool to conduct a visual analysis of 343 research articles on automated feedback for second-language writing indexed in China National Knowledge Infrastructure (CNKI) from 2016 to 2026. Through keyword colocation, keyword clustering analysis, and temporal colocation, the study systematically examined publication trends, core areas, and research hotspots over the past decade. The findings reveal that domestic research on automated feedback for second-language writing has shown a fluctuating upward trend over the past decade, with particularly significant growth in the last three years. In terms of core research areas, the primary topics of focus include the mechanisms of second-language writing feedback, the application of feedback technologies, and the practical scenarios and validity of intelligent feedback. Furthermore, future research in this field will continue to delve into the integration of artificial intelligence technologies with second-language writing feedback, while exploring more practical directions such as “human-machine collaboration” and “the transformation of the teacher’s role”. This study clearly illustrates the current state of research on automated feedback for second-language writing, providing a reference for future development and practice in this field.