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作 者:杨颖莉[1] 高子涵 Yang Yingli;Gao Zihan(University of International Business and Economics,Beijing 100029,China;Beijing Jiaotong University,Beijing 100044,China)
机构地区:[1]对外经济贸易大学英语学院,100029 [2]北京交通大学语言与传播学院/马克思主义学院,100044
出 处:《北京第二外国语学院学报》2025年第1期127-141,共15页Journal of Beijing International Studies University
基 金:国家社会科学基金项目“数字化教育背景下二语写作学习者AI素养研究”(项目编号:24BYY137)的阶段性成果。
摘 要:本文基于Web of Science数据库,借助CiteSpace软件,对1996—2024年国外发表的二语写作反馈研究的趋势、特点与热点话题进行分析。结果显示,国外二语写作反馈研究在数量上整体呈现增长趋势,多发表于语言学和教育学期刊,并明显具有与心理学、计算机科学跨学科融合的特点。研究以反馈有效性争论为起点,经历了从外部因素到学习者内在心理因素、从反馈效果到反馈过程、从微观视角到宏观视域、从师生反馈到数智赋能反馈的4次转向。未来国内二语写作反馈研究可以采用动态、宏观的视角,基于技术接受与使用整合理论等探究写作自动评估系统和大语言模型反馈对二语写作表现的影响,重视学习者认知和情感个体差异因素及反馈投入,考察学习者和教师的反馈素养,改进数据收集方法,合理运用眼动、键盘记录和脑成像等技术进行深入研究。CiteSpace was employed in this study to investigate the trends,features,and key topics in overseas studies of second language(L2)written corrective feedback(WCF)from 1996 to 2024 based on the Web of Science database.The results revealed that research on WCF in countries other than China has increased.The studies were mainly published in linguistics and education journals,and featured the integration of psychology and computer science.Starting from the debate about the effectiveness of WCF,research on WCF underwent four shifts in the research foci,namely from external factors to internal psychological factors,from the effects of WCF to its process,from a micro perspective to a macro one,and from teacher and peer feedback to digital intelligence-empowered feedback.Future Chinese studies of WCF could adopt a dynamic,macro perspective to explore the effects of the feedback that is provided by automated writing evaluation systems and large language models on L2 writing performance based on theories such as the Unified Theory of Acceptance and Use of Technology.Researchers could further emphasize learners’cognitive and affective individual differences and their engagement with feedback,and could examine learners’and teachers’feedback literacy.It is also suggested that researchers should improve data collection methods by integrating eye tracking,keystroke logging,and neuroimaging techniques to investigate WCF in more depth.
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