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张福亚

苏州大学 , 中国

 

摘要

本研究基于留学生学术汉语写作教学实践，采用混合研究方法探究人机协同反馈对学习者反馈投入的影响及其作用机制。量化分析显示 ：相较于传统教师反馈，由师、生、机三方互动构成的人机协同反馈显著提升了学习者的情感投入与认知投入，但在行为投入上提升有限 ；在文献综述、章节结构及主题章等复杂任务中，认知投入优势尤为突出。质性分析揭示 ：该反馈模式促使认知投入呈现元认知操作显性化、比较性加工增强、复杂任务认知操作多样化等特征 ；情感投入经历了由从震荡到相对稳定的渐进式过程 ；行为投入尚面临认知—行为转化瓶颈。

 

关键词

学术汉语，写作反馈，人机协同，反馈投入

 

The Effect of Human-AI Collaborative Feedback on Feedback Engagement in Chinese L2 Academic Writing
 

Fuya Zhang

Soochow University, China

 

Abstract

This study, grounded in the teaching practice of academic Chinese writing for international students, employs a mixed-methods approach to investigate the impact of human-AI collaborative feedback on learners’ feedback engagement and its underlying mechanisms. Quantitative analysis reveals that, compared to traditional teacher feedback, the human-AI collaborative feedback model—characterized by teacher-student-AI interaction—significantly enhances learners’ affective and cognitive engagement, though its effect on behavioral engagement is limited. The advantage in cognitive engagement is particularly pronounced in complex tasks such as literature reviews, chapter structuring, and theme chapters. Qualitative analysis further reveals that this feedback model promotes the externalization of metacognitive operations, strengthens comparative processing, and diversifies cognitive operations in complex tasks. Affective engagement evolved through a gradual process from fluctuation to relative stability, while behavioral engagement continues to face a cognitive-behavioral transfer bottleneck.

 

Keywords

Academic Chinese, writing feedback, human-AI collaboration, feedback engagement