Automated marking reduced assessment turnaround from 11.2 days to 0.1 days and enabled intervention students to complete 4.1 times the practice volume of controls¶
Claim · All claims
Evidence · 1 study · causalr1·q2
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.
q2 i? System telemetry showed turnaround of 11.2 days (SD=2.4) for human grading versus 0.1 days (SD=0.2) for the automated system, with 4.1 times the practice volume completed. → Matey Yordanov 2026
Evidence¶
Matey Yordanov 2026¶
Matey Yordanov, Mikhail Bychkov, and Andrei Kuchma. (2026). The Effect of High-Frequency, Automatically-marked Formative Assessments on Student Outcomes in A-Level Sciences. https://arxiv.org/abs/2607.23566 doi:10.48550/arxiv.2607.23566
q2 · i? · causal · r1
Passively collected platform system-log data over the 16-week term. The article reports the turnaround contrast above and states educators "assigned, and intervention students subsequently completed, 4.1 times the volume of rigorous practice material." No effect size is printed for these operational measures.
"The control group experienced an average turnaround time of 11.2 days (SD= 2.4) for traditional human grading. Conversely, the intervention cohort utilising the Cortex system experienced an average turnaround time of merely 0.1 days (SD= 0.2)"
Discussion¶
Related Claims¶
- In a 16-week quasi-experiment, A-Level STEM students receiving high-frequency automated marking scored 16.8 percentage points higher on a blind-graded final mock exam than control students with human marking — related
- Human scoring and feedback for HDR takes about 11 minutes 30 seconds per learner, while GPT-based scoring and feedback is nearly instant — related
- Intervention students reported significantly higher exam confidence than controls (M=4.3 vs 3.4 on a 5-point scale, d=0.76) — related
- Automated AI assessment systems reduce grading time and improve evaluation consistency in nursing education — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
automated-marking-turnaround-and-practice-volume |
title |
Automated marking reduced assessment turnaround from 11.2 days to 0.1 days and enabled intervention students to complete 4.1 times the practice volume of controls |
description |
Automated marking reduced assessment turnaround from 11.2 days to 0.1 days and enabled intervention students to complete 4.1 times the practice volume of controls |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — matey-yordanov-2026 |
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