Three independent expert instructors reached exceptionally high inter-rater reliability when grading 1200 bash exam responses, establishing a reliable human reference standard¶
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Evidence · 1 study · associationalr2·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
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q3 i? The three human evaluators showed near-perfect association and excellent absolute agreement (Pearson r = 0.949; ICC(2,1) = 0.949) with negligible error and bias. → Alonso-Carracedo 2026
Evidence¶
Alonso-Carracedo 2026¶
Alonso-Carracedo, M., Fernandez-Boullon, R., Celard, P., Rodríguez-Martínez, F. J., Otero-Cerdeira, L. (2026). Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach. https://arxiv.org/abs/2607.02432 doi:10.48550/arxiv.2607.02432
q3 · i? · associational · r2
Inter-rater reliability analysis of the three instructors' independent blind grades of the 1200 exam responses (Section 4.1.3). The article reports "ICC(2,1) = 0.949(95% CI[0.941,0.955],p < 0.001)", plus Pearson r = 0.949, Weighted Kappa 0.948, MAE 0.028, and Bland-Altman bias of −0.008 points.
"The Intraclass Correlation Coefficient ICC(2,1) = 0.949(95% CI[0.941,0.955],p < 0.001) indicates excellent absolute agreement."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
expert-triad-high-inter-rater-reliability-bash-grading |
title |
Three independent expert instructors reached exceptionally high inter-rater reliability when grading 1200 bash exam responses, establishing a reliable human reference standard |
description |
Three independent expert instructors reached exceptionally high inter-rater reliability when grading 1200 bash exam responses, establishing a reliable human reference standard |
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 — alonso-carracedo-2026 |
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