Claims

Workflow condition is associated with students' self-assessment confidence

Claim · All claims
Evidence · 1 study · causal r? · q3
Currency · newest study 2026 · 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.

q3 i? A likelihood-ratio test showed a statistically significant overall effect of condition on self-assessment confidence; no effect size was printed in the available text. → Omar Alsaiari 2026

Evidence

Omar Alsaiari 2026

Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge, Naomi Winstone, Dragan Gašević, Hassan Khosravi. (2026). Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment. https://arxiv.org/abs/2608.11625 doi:10.48550/arxiv.2608.11625

q3 · i? · causal · r?

Cumulative link mixed model on students' ordinal 1-5 self-assessment confidence ratings, with condition as fixed effect and student ID as random intercept. The omnibus test was significant; the article reports no effect size for this outcome in the available text.

"A likelihood-ratio test showed a statistically significant overall effect of condition on self-assessment confidence,χ2(2) = 139.06 ,p<.001 ."

Discussion

Page metadata
Field Value
type claim
id workflow-condition-self-assessment-confidence-effect
title Workflow condition is associated with students' self-assessment confidence
description Workflow condition is associated with students' self-assessment confidence
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — omar-alsaiari-2026

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