摘要
纠正反馈(CF)通常用于帮助语言学习者识别和纠正其口语或书面语中的错误。本文中的传统 CF指的是教师反馈、同伴反馈和自我反馈。自动纠正反馈 (ACF)是指使用技术，特别是人工智能 (AI) 系统，为学习者提供对其表现或工作的反馈。本文通过基于反馈响应时间、潜在风险、人际互动和个性化学习四个方面的综述，比较了 ACF 和传统 CF，旨在帮助教师理解技术工具的使用并提高学习者的英语水平。ACF具有即时响应时间、最小情感伤害和个性化反馈的优势。而传统CF具有实时人际互动且无需担心隐私泄露的优势。建议将两种反馈模式结合起来，以提高语言学习的有效性和效率。
关键词： 自动纠错反馈（ACF）；传统纠错反馈；英语教学与学习；评论
Abstract
Corrective feedback (CF) is often used to help language learners identify and correct errors in their spoken or written language. Traditional CF in this paper refers to teacher feedback, peer feedback, and self-feedback. Automated corrective feedback (ACF) indicates the use of technology, specifically artificial intelligence (AI) systems, to provide feedback to learners on their performance or work. This paper compared ACF and traditional CF through a review based on these four aspects: response time of feedback, potential risks, interpersonal interaction, and personalized learning, aiming to assist teachers in comprehending the use of technical tools and enhancing learners' English proficiency. ACF has the benefits of instant response time, minimal emotional damage, and individualized feedback. Whereas traditional CF has the benefits of real-time interpersonal interaction and no concerns about privacy exposure. It is recommended to combine the two modes of feedback so as to enhance the effectiveness and efficiency of language learning.
Key words： Automated corrective feedback (ACF); Traditional corrective feedback; English language teaching and learning; Review
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