How effectively can EFL students use automated written corrective feedback (AWCF) in research writing?

纠正性反馈 计算机科学 英语作为外语 第二语言写作 同行反馈 光学(聚焦) 错误检测和纠正 感知 外语 情感(语言学) 误差分析 学术写作 数学教育 心理学 第二语言 语言学 沟通 哲学 物理 数学 算法 神经科学 应用数学 光学
作者
Qian Guo,Ruiling Feng,Yuanfang Hua
出处
期刊:Computer Assisted Language Learning [Routledge]
卷期号:35 (9): 2312-2331 被引量:84
标识
DOI:10.1080/09588221.2021.1879161
摘要

AWCF can facilitate academic writing development, especially for novice writers of English as a foreign language (EFL). Existing AWCF studies mainly focus on teacher and learner perceptions; fewer have investigated the error-correction effect of AWCF and factors related to the effect. Especially lacking is research on how successfully students can use AWCF to correct errors in source-based academic writing. Meanwhile, Grammarly, an automated writing evaluation (AWE) tool, is under-represented in AWCF studies despite its extensive use in EFL classrooms and its significant advantages. Correspondingly, we evaluated how effectively EFL students could use Grammarly-provided feedback for error correction in research writing and what factors were related to user responses (i.e., revision operations) and response accuracy. The results show that the error scores decreased significantly after revision and the participants correctly addressed 85% of the Grammarly-flagged usages. The error-correction success was impressive, considering how the technical nature of research writing might affect feedback accuracy and user responses, both related to response accuracy. In fact, feedback accuracy contributed to response accuracy both directly and indirectly (via user responses). The findings have implications for source-based academic writing instruction and AWE tool development.
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