心理学
数学教育
高等教育
医学教育
教育学
研究生
定性研究
学业成绩
计算机科学
统计分析
教学方法
感知
学业指导
数据收集
研究方法
学生参与度
主动学习(机器学习)
形成性评价
培训转移
应用心理学
作者
Sihui Li,Siyao Wang,Yating Huang
标识
DOI:10.1080/14703297.2026.2678377
摘要
Integrating teacher feedback with GenAI feedback has attracted growing interest, yet how different teacher feedback types interact with GenAI feedback to shape undergraduate students’ academic writing remains underexplored. This study adopted a quasi-experimental design to explore the impact of three feedback types on undergraduate students’ academic writing. The results indicated that the combination of teacher cognitive feedback and GenAI feedback most effectively enhanced academic writing performance; teacher affective feedback paired with GenAI promoted more extra revisions, whereas GenAI feedback alone often led to non-implementation. Semi-structured interviews revealed markedly distinct perceptions across three dimensions: the gap between feedback recognition and implementation, emotional responses to feedback, and developmental trajectories of academic writing strategies. This study advocates for a human-centred approach to human-AI feedback integration, offering insights into leveraging their complementary strengths for meaningful learning.
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