Argus

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

Argus is a static-analysis triage tool developed by David Racovan et al. that analyses student code-development histories and heuristic indicators to surface cases for instructional staff review.

Components

Claims

• Average homework H-scores correlate negatively with proctored exam performance, with the correlation strengthening from Spring 2024 to Spring 2026 [+M]
• Average H-scores rose from near-zero in pre-LLM offerings to 11.9 in Spring 2026, with maximum scores reaching 81 [+M]

Related Products and Programmes

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Key Sources

• 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

Page metadata

Field	Value
type	product
id	argus
title	Argus
description	Argus is a static-analysis triage tool developed by David Racovan et al.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-10
trust	unverified — no one has confirmed this page's content

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