feedback uptake

AI feedback reached student groups, but fewer than one in three actionable comments appeared in their revisions

Guoqing Lu, Huimin Zhang, Shen Ba, Lan Yang

Journal of Educational Computing Research

An 18-week study of 114 pre-service teachers examined what happened after human-reviewed AI feedback reached their groups. Researchers traced 965 actionable comments into later work: 271 were implemented, while many remained unused or ambiguous. The four feedback conditions did not differ significantly in implementation status. The finding directs attention to students’ decisions about advice, with classroom applications below offered as editorial proposals rather than tested improvements in learning.