Claims

In Spring 2026, 45.7% of students in a large CS2 course were flagged as LLM-assisted following structured manual review

Claim · All claims
Evidence · 1 study · design r2 · 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? Manual review of the top-ranked students in Spring 2026 determined 267 of 584 exam-completing students (45.7%) had used LLM-assisted tools. → 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? · design · r2

Case study of the Spring 2026 offering, in which three course staff independently reviewed students ranked by H-score and reached consensus, giving extreme benefit of the doubt; "267 (45.7%) were flagged following manual review". No effect size is printed for prevalence.

"Of the 584 students who completed the first midterm exam in the Spring 2026 offering, 267 (45.7%) were flagged following manual review, and 317 were not."

Discussion

Page metadata
Field Value
type claim
id argus-45-percent-flagged-spring-2026
title In Spring 2026, 45.7% of students in a large CS2 course were flagged as LLM-assisted following structured manual review
description In Spring 2026, 45.7% of students in a large CS2 course were flagged as LLM-assisted following structured manual review
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 — david-racovan-2026

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