Claims

Praxical teacher-AI grading teaming decreased grading time by 44% and increased accuracy by 6% versus manual grading

Claim · All claims
Evidence · 1 study · review r2 · 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? In one reviewed study, praxical teacher-AI teaming in grading decreased grading time by 44% and increased grading accuracy by 6% compared to manual grading. → Mutlu Cukurova 2025

Evidence

Mutlu Cukurova 2025

Mutlu Cukurova, Wannapon Suraworachet, Qi Zhou, and Sahan Bulathwela. (2025). Towards Synergistic Teacher-AI Interactions with Generative Artificial Intelligence. https://arxiv.org/abs/2511.19580 doi:10.48550/arxiv.2511.19580

q2 · i? · review · r2

The review reports this secondhand, citing Liu et al.'s study of praxical teacher-AI teaming in grading students' assignments; teachers also qualitatively reported more enjoyable, easier and faster operations. No effect size is printed.

"The quantitative results suggest that the praxical approach can decrease grading time by 44% and increase grading accuracy by 6% in comparison to manual grading."

Discussion

Page metadata
Field Value
type claim
id praxical-grading-time-accuracy-gains
title Praxical teacher-AI grading teaming decreased grading time by 44% and increased accuracy by 6% versus manual grading
description Praxical teacher-AI grading teaming decreased grading time by 44% and increased accuracy by 6% versus manual grading
status review
evidence_strength weak
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-11
trust unverified — no one has confirmed this page's content
sources 1 — mutlu-cukurova-2025

Frontmatter is the page's machine-readable record — see the Schema & Guide.