Both ChatGPT feedback and peer feedback prompted doctoral students to actively exercise hard evaluative judgement in statistical analysis, through different challenges¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2025 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? ChatGPT feedback and peer feedback each prompted active exercise of hard evaluative judgement, with ChatGPT requiring output validation and peer feedback encouraging critical comparison. → Xie 2025

Evidence¶

Xie 2025¶

Xie, X., Zhang, L. J., & Wilson, A. J. (2025). Comparing ChatGPT Feedback and Peer Feedback in Shaping Students' Evaluative Judgement of Statistical Analysis: A Case Study. Behavioral Sciences, 15(7), 884. https://doi.org/10.3390/bs15070884

q2 · i? · qualitative · r2

Thematic analysis of post-implementation surveys, interviews, peer-session videos and ChatGPT screenshots from the case study's findings section. The authors conclude both environments prompted students to "actively exercise hard evaluative judgement" despite different challenges.

"Overall, while the two feedback modalities presented different challenges, both en- vironments prompted students to actively exercise hard evaluative judgement."

Discussion¶

Learner Variables¶

Metacognition — outcome: instruction changes it

ChatGPT feedback required doctoral students to validate the procedural accuracy of algorithm-generated outputs, with judgement shaped by prompt quality — a narrower finding that bears on this claim
Peer feedback promoted critical reflection, collaboration and engagement, but students doubted its reliability because peers were statistics beginners — a narrower finding that bears on this claim
GenAI feedback limitations require students to exercise evaluative judgement — a broader claim this one bears on
Students perceive LLM chatbots as useful for learning but requiring critical use, reporting hallucinations, overconfidence, and dependency risks — related
Reviewed literature reports risks of overreliance, AI errors in complex tasks, and students' uncritical acceptance of AI-generated outputs — a broader claim this one bears on
Students report heightened autonomy in English learning through self-directed regulation, personalized feedback, and active evaluation of ChatGPT suggestions — related
Prompt-writing ability is a new feedback-eliciting capacity that shapes GenAI feedback engagement — related

Page metadata

Field	Value
`type`	`claim`
`id`	`both-feedback-modalities-prompt-hard-evaluative-judgement`
`title`	`Both ChatGPT feedback and peer feedback prompted doctoral students to actively exercise hard evaluative judgement in statistical analysis, through different challenges`
`description`	`Both ChatGPT feedback and peer feedback prompted doctoral students to actively exercise hard evaluative judgement in statistical analysis, through different challenges`
`status`	`review`
`evidence_strength`	`moderate`
`newest_evidence`	`2025`
`source_checked`	`2026-10-20`
`generated`	by `process:wiki-ingest` on `2026-10-12`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `xie-2025`

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