Average H-scores rose from near-zero in pre-LLM offerings to 11.9 in Spring 2026, with maximum scores reaching 81¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: local conditions change quickly
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? Score distributions were heavily right-skewed, with means rising from 1.1 (Spring 2020) and 0.5 (Spring 2022) to 4.2 (Spring 2025) and 11.9 (Spring 2026). → David Racovan 2026
Evidence¶
David Racovan 2026¶
David Racovan, Ajay Rawat, Christopher K. May, Jeffrey A. Turkstra. (2026). Argus: Academic Integrity in the Era of Generative AI. https://arxiv.org/abs/2609.36073 doi:10.48550/arxiv.2609.36073
q2 · i? · associational · r1
Distributional analysis of 3,893 student-semester pairs and 42,695 homework submissions across six offerings, shown in Figure 2; the text reports "Spring 2026 (mean =11.9)". Maximum H-scores reached 81 in Spring 2026 versus 40–45 earlier. No effect size is printed.
"A more pronounced shift appears in Spring 2025 (mean =4.2), and Spring 2026 (mean =11.9). This suggests a large change in student behavior towards the use of LLM-based assistance, rather than a change driven by a small number of outliers."
Discussion¶
Related Claims¶
- In Spring 2026, 45.7% of students in a large CS2 course were flagged as LLM-assisted following structured manual review — related
- Average homework H-scores correlate negatively with proctored exam performance, with the correlation strengthening from Spring 2024 to Spring 2026 — related
- More students embraced LLMs for debugging from Spring to Fall 2025 despite declining course enrollment — related
- MOSS detected far fewer suspicious cases in Spring 2026 than in prior offerings, as LLM-assisted submissions lack similarity signals — related
- In an unrestricted university course, only a minority of students (23 of 68, 34%) reported using LLMs, averaging 12% of discussion-point and 11% of critical-summary submissions — related
- All four evaluated LLMs produce strongly bimodal item-level score distributions on bash exams, and rubric-enhanced prompts amplify the near-perfect-score peak — related
- Authorship scores were highly concentrated near the maximum of the rubric scale — related
- Flagged Spring 2026 students scored lower on all three exams than non-flagged peers, with performance declining as flagged assignments increased — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
h-score-distributions-rose-over-time |
title |
Average H-scores rose from near-zero in pre-LLM offerings to 11.9 in Spring 2026, with maximum scores reaching 81 |
description |
Average H-scores rose from near-zero in pre-LLM offerings to 11.9 in Spring 2026, with maximum scores reaching 81 |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — david-racovan-2026 |
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