国际生成式人工智能辅助二语写作反馈研究回顾与展望——基于Bibliometrix的可视化分析

Retrospect and Prospect of International Research on Generative AI-Assisted Feedback in Second Language Writing—Visualization Analysis Based on Bibliometrix

摘要: 生成式人工智能辅助二语写作反馈是目前二语习得领域的一个重要研究议题。本研究基于Web of Science核心数据库，借助Bibliometrix文献计量分析工具，对国际生成式人工智能辅助二语写作反馈研究展开可视化分析，旨在揭示该领域的研究现状，并为其未来研究提出建议。结果表明：该研究议题于2023年兴起，发展起步较晚，但发文量呈稳步增长态势；高被引文献表明现有研究聚焦于生成式人工智能在课堂情境中的应用，且融合了教育学和心理学视角；尽管多个国家为该领域研究作出了贡献，但发文国家间的合作较为有限；主要研究热点集中在生成式人工智能工具的应用以及二语写作情景方面。未来研究应不断丰富二语写作反馈研究中生成式人工智能工具的种类，更新技术工具，推动该研究主题的跨学科发展，加强国际合作，并不断完善其研究框架。

Abstract: Generative artificial intelligence (GenAI)-assisted feedback in second language (L2) writing has become an important topic in the field of L2 acquisition. Based on data from Web of Science Core Collection, this paper adopts Bibliometrix, a bibliometric software package in R, to conduct a visual analysis of international research on GenAI-assisted feedback in L2 writing, aiming to reveal the current research status and put forward recommendations for future studies of this field. The findings indicate that this research topic emerged in 2023, and its publication output has increased steadily. Highly cited publications indicate that existing studies have focused on the application of GenAI in classroom contexts and integrated the perspective of education and psychology. Although many countries have contributed to this field, international collaboration remains limited. Major research hotspots center on the application of GenAI tools and L2 writing contexts. Future studies should expand the variety of GenAI tools applied in L2 writing feedback research, update technological tools, promote interdisciplinary development, strengthen international collaboration, and refine the research framework.