Students who continued feedback conversations with ChatGPT perceived more utility in AI feedback than one-shot users¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? 35% of spring students continued a feedback conversation; 71% of continuers versus 50% of non-continuers preferred AI and peer feedback together. → Sperber 2025
Evidence¶
Sperber 2025¶
Sperber, Lisa; MacArthur, Marit; Minnillo, Sophia; Stillman, Nicholas; Whithaus, Carl. (2025). Peer and AI Review + Reflection (PAIRR): A human-centered approach to formative assessment. Computers and Composition 76. https://doi.org/10.1016/j.compcom.2025.102921
q2 · i? · design · r2
Spring post-intervention survey (n=386) and student interviews (n=8) added questions on continued conversations; the authors interpret these findings as indicating continuers perceived more utility in the feedback.
"35% of students continued a feedback conversation. Among students who continued AI feedback conversations, 71% preferred AI and peer feedback together, while among those who did not continue the conversation, only 50% preferred AI and peer feedback together"
Discussion¶
Related Claims¶
- Neither self-efficacy nor course type statistically predicted students' decisions to continue ChatGPT feedback conversations — related
- Chatbot engagement was highly uneven: 8 of 15 voluntary users interacted continuously while 7 interacted superficially — related
- Voluntary classroom uptake of teacher-assigned AI discussions was high on average (85.0% classroom participation) but heterogeneous across teachers and discussions — related
- Most students preferred combined peer and AI feedback over either source alone, and rated peer and ChatGPT feedback as similarly useful — related
- The nine AI demonstrations drew high attendance but modest engagement, with student feedback sharply split on course utility — related
- After PAIRR, most students prefer combined peer and AI feedback over either source alone — related
- Only six reviewed studies combined peer feedback with feedback from other sources — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
continued-ai-conversations-linked-to-perceived-utility |
title |
Students who continued feedback conversations with ChatGPT perceived more utility in AI feedback than one-shot users |
description |
Students who continued feedback conversations with ChatGPT perceived more utility in AI feedback than one-shot users |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — sperber-2025 |
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